Skip to main content

Intuitionistic continuous, closed and open mappings

Page 1

Annals of Fuzzy Mathematics and Informatics Volume x, No. x, (Month 201y), pp. 1–xx ISSN: 2093–9310 (print version) ISSN: 2287–6235 (electronic version) http://www.afmi.or.kr

@FMI c Kyung Moon Sa Co. http://www.kyungmoon.com

Intuitionistic continuous, closed and open mappings J. G. Lee, P. K. Lim, J. H. Kim, K. Hur Received 19 September 2015; Accepted 5 November Jananuary 2017

Abstract. First of all, we define an intuitionistic quotient mapping and obtain its some properties. Second, we define some types continuities, open and closed mappings. And we investigate relationships among them and give some examples. Finally, we introduce the notions of an intuitionistic subspace and the heredity, and obtain some properties of each concept.

2010 AMS Classification: 54A10, 03F55 Keywords: Intuitionistic continuity, Intuitionistic closed mapping, Intuitionistic open mapping, Intuitionistic quotient mapping Intuitionistic subspace, Heredity. Corresponding Author: J. G. Lee (jukolee@wku.ac.kr)

1. Introduction

I

n 1996, Coker [5] introduced the concept of an intuitionistic set (called an intuitionistic crisp set by Salama et al.[17]) as the generalzation of an ordinary set and the specialization of an intuitionistic fuzzy set introduced by Atanassove [1]. After that time, many researchers [2, 6, 7, 8, 16, 18] applied the notion to topology, and Selvanayaki and Ilango [19] studied homeomorphisms in intuitionistic topological spaces. In particular, Bayhan and Coker [3] investigated separtion axioms in intuitionistic topological spaces. And they [4] dealt with pairwise separation axioms in intuitionistic topological spaces and some relationships between categories Dbl-Top and Bitop. Furthermore, Lee and Chu [15] introduced the category ITop and investigated some relationships between ITop and Top. Recently, Kim et al. [10] investigate the category ISet composed of intuitionistic sets and morphisms between them in the sense of a topological universe. Also, they [11, 12] studied some additional properties and give some examples related to closures, interiors in and separation axioms in intuitionistic topological spaces. Moreover, Lee at al [13] investigated limit points and nets in intuitionistic topological spaces and also they [14] studied intuitionistic equivalence relation.


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

In this paper, first of all, we define an intuitionistic quotient mapping and obtain its some properties. Second, we define some types continuities, open and closed mappings. And we investigate relationships among them and give some examples. Finally, we introduce the notions of an intuitionistic subspace and the heredity, and obtain some properties of each concept. 2. Preliminaries In this section, we list the concepts of an intuitionistic set, an intuitionistic point, an intuitionistic vanishing point and operations of intuitionistic sets and some results obtained by [5, 6, 7, 11]. Definition 2.1 ([5]). Let X be a non-empty set. Then A is called an intuitionistic set (in short, IS) of X, if it is an object having the form A = (AT , AF ), such that AT ∩ AF = φ, where AT [resp. AF ] is called the set of members [resp. nonmembers] of A. In fact, AT [resp. AF ] is a subset of X agreeing or approving [resp. refusing or opposing] for a certain opinion, view, suggestion or policy. The intuitionistic empty set [resp. the intuitionistic whole set] of X, denoted by φI [resp. XI ], is defined by φI = (φ, X) [resp. XI = (X, φ)]. In general, AT ∪ AF 6= X. We will denote the set of all ISs of X as IS(X). It is obvious that A = (A, φ) ∈ IS(X) for each ordinary subset A of X. Then we can consider an IS of X as the generalization of an ordinary subset of X. Furthermore, it is clear that A = (AT , AT , AF ) is an neutrosophic crisp set in X, for each A ∈ IS(X). Thus we can consider a neutrosophic crisp set in X as the generalization of an IS of X. Moreover, we can consider an intuitionistic set in X as an intuitionistic fuzzy set in X from Remark 2.2 in [11]. Definition 2.2 ([5]). Let A, B ∈ IS(X) and let (Aj )j∈J ⊂ IS(X). (i) We say that A is contained in B, denoted by A ⊂ B, if AT ⊂ BT and AF ⊃ BF . (ii) We say that A equals to B, denoted by A = B, if A ⊂ B and B ⊂ A. (iii) The complement of A denoted by Ac , is an IS of X defined as: Ac = (AF , AT ). (iv) The union of A and B, denoted by A ∪ B, is an IS of X defined as: A ∪ B = (AT ∪ BT , AF ∩ BF ). S S (v) The union of (Aj )j∈J , denoted by j∈J Aj (in short, Aj ), is an IS of X defined as: [ [ \ Aj = ( Aj,T , Aj,F ). j∈J

j∈J

j∈J

(vi) The intersection of A and B, denoted by A ∩ B, is an IS of X defined as: A ∩ B = (AT ∩ BT , AF ∪ BF ). 2


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

T T (vii) The intersection of (Aj )j∈J , denoted by j∈J Aj (in short, Aj ), is an IS of X defined as: \ \ [ Aj = ( Aj,T , Aj,F ). j∈J

j∈J

j∈J

(viii) A − B = A ∩ B c . (ix) [ ]A = (AT , AT c ), < > A = (AF c , AF ). From Propositions 3.6 and 3.7 in [10], we can easily see that (IS(X), ∪, ∩,c , φI , XI ) is a Boolean algebra except the following conditions: A ∪ Ac 6= XI , A ∩ Ac 6= φI . However, by Remark 2.12 in [11], (IS∗ (X), ∪, ∩,c , φI , XI ) is a Boolean algebra, where IS∗ (X) = {A ∈ IS(X) : AT ∪ AF = X}. Definition 2.3 ([5]). Let f : X → Y be a mapping, and let A ∈ IS(X) and B ∈ IS(Y ). Then (i) the image of A under f , denoted by f (A), is an IS in Y defined as: f (A) = (f (A)T , f (A)F ), where f (A)T = f (AT ) and f (A)F = (f (AcF ))c . (ii) the preimage of B, denoted by f −1 (B), is an IS in X defined as: f −1 (B) = (f −1 (B)T , f −1 (B)F ), where f −1 (B)T = f −1 (BT ) and f −1 (B)F = f −1 (BF ). Result 2.4. (See [5], Corollary 2.11) Let f : X → Y be a mapping and let A, B, C ∈ IS(X), (Aj )j∈J ⊂ IS(X) and D, E, F ∈ IS(Y ), (Dk )k∈K ⊂ IS(Y ). Then the followings hold: (1) if B ⊂ C, then f (B) ⊂ f (C) and if E ⊂ F , then f −1 (E) ⊂ f −1 (F ). (2) A ⊂ f −1 f (A)) and if f is injective, then A = f −1 f (A)), (3) f (f −1 if f is surjective, then (f −1 (D)) = D, S(D)) ⊂ D S and T T f−1 −1 −1 −1 (4) f S( Dk ) S = f (DkT), f ( TDk ) = f (Dk ), (5) f ( Aj ) = f (Aj ), f ( Aj ) ⊂ f (Aj ), (6) f (A) = φI if and only if A = φI and hence f (φI ) = φI , in particular if f is surjective, then f (XI ) = YI , (7) f −1 (YI ) = YI , f −1 (φI ) = φI . (8) if f is surjective, then f (A)c ⊂ f (Ac ) and furthermore, if f is injective, then f (A)c = f (Ac ), (9) f −1 (Dc ) = (f −1 (D))c . Definition 2.5 (See [5]). Let X be a non-empty set, a ∈ X and let A ∈ IS(X). (i) The form ({a}, {a}c ) [resp. (φ, {a}c )]is called an intuitionistic point [resp. vanishing point] of X and denoted by aI [resp. aIV ]. (ii) We say that aI [resp. aIV ] is contained in A, denoted by aI ∈ A [resp. aIV ∈ A], if a ∈ AT [resp. a ∈ / AF ]. We will denote the set of all intuitionistic points or intuitionistic vanishing points in X as IP (X). 3


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

Definition 2.6 ([6]). Let X be a non-empty set and let τ ⊂ IC(X). Then τ is called an intuitionistic topology (in short IT) on X, it satisfies the following axioms: (i) φI , XI ∈ τ, (ii) AS∩ B ∈ τ, for any A, B ∈ τ, (iii) j∈J Aj ∈ τ, for each (Aj )j∈J ⊂ τ . In this case, the pair (X, τ ) is called an intuitionistic topological space (in short, ITS) and each member O of τ is called an intuitionistic open set (in short, IOS) in X. An IS F of X is called an intuitionistic closed set (in short, ICS) in X, if F c ∈ τ. It is obvious that {φI , XI } is the smallest IT on X and will be called the intuitionistic indiscreet topology and denoted by τI,0 . Also IS(X) is the greatest IT on X and will be called the intuitionistic discreet topology and denoted by τI,1 . The pair (X, τI,0 ) [resp. (X, τI,1 )] will be called the intuitionistic indiscreet [resp. discreet] space. We will denote the set of all ITs on X as IT (X). For an ITS X, we will denote the set of all IOSs [resp. ICSs] on X as IO(X) [resp. IC(X)]. Result 2.7 ([6], Proposition 3.5). Let (X, τ ) be an ITS. Then the following two ITs on X can be defined by: τ0,1 = {[ ]U : U ∈ τ }, τ0,2 = {< > U : U ∈ τ }. Furthermore, the following two ordinary topologies on X can be defined by (See [3]): τ1 = {UT : U ∈ τ }, τ2 = {UFc : U ∈ τ }. We will denote two ITs τ0,1 and τ0,2 defined in Result 2.7 as τ0,1 = [ ]τ and τ0,2 =< > τ. Moreover, for an IT τ on a set X, we can see that (X, τ1 , τ2 ) is a bitopological space by Kelly [9] (Also see Proposition 3.1 in [4]). Definition 2.8 ([7]). Let X be an ITS, p ∈ X and let N ∈ IS(X). Then (i) N is called a neighborhood of pI , if there exists an IOS G in X such that pI ∈ G ⊂ N, i.e., p ∈ GT ⊂ NT and GF ⊃ NF , (ii) N is called a neighborhood of pIV , if there exists an IOS G in X such that pIV ∈ G ⊂ N, i.e., GT ⊂ NT and p ∈ / GF ⊃ NF . We will denote the set of all neighborhoods of pI [resp. pIV ] by N (pI ) [resp. N (pIV )]. Result 2.9 ([11], Theorem 4.2). Let (X, τ ) be an ITS and let A ∈ IS(X). Then (1) A ∈ τ if and only if A ∈ N (aI ), for each aI ∈ A, (1) A ∈ τ if and only if A ∈ N (aIV ), for each aIV ∈ A. Result 2.10 ([7], Proposition 3.4). Let (X, τ ) be an ITS. We define the families τI = {G : G ∈ N (pI ), for each pI ∈ G} and τIV = {G : G ∈ N (pIV ), for each pIV ∈ G}. 4


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

Then τI , τIV ∈ IT (X). Result 2.11 ([7], Proposition 3.5). Let (X, τ ) be an ITS. Then τ ⊂ τI and τ ⊂ τIV . Result 2.12 ([11], Corollary 4.6). Let (X, τ ) be an ITS and let ICτ [resp. ICτI and ICτIV ] be the set of all ICSs w.r.t. τ [resp. τI and τIV ]. Then ICτ (X) ⊂ ICτI (X) and ICτ (X) ⊂ ICτIV (X). Definition 2.13 ([6]). Let (X, τ ) be an ITS and let A ∈ IS(X). (i) The intuitionistic closure of A w.r.t. τ , denoted by Icl(A), is an IS of X defined as: \ Icl(A) = {K : K c ∈ τ and A ⊂ K}. (ii) The intuitionistic interior of A w.r.t. τ , denoted by Iint(A), is an IS of X defined as: [ Iint(A) = {G : G ∈ τ and G ⊂ A}. 3. Intuitionistic quotient spaces In this section, we define an intuitionistic quotient mapping and obtain its some properties. Definition 3.1 ([6]). Let X, Y be an ITSs. Then a mapping f : X → Y is said to be continuous, if f −1 (V ) ∈ IO(X), for each V ∈ IO(Y ). The following is the immediate result of by the above definition. Proposition 3.2. Let X, Y be ITSs. Then (1) the identity id : X → X is continuous, (2) if f : X → Y and g : Y → Z are continuous, then g ◦f : X → Z is continuous, (3) if f : X → Y is a constant mapping, then f is continuous, (4) if X is an intuitionistic discrete space, then f is continuous, (5) if Y is an intuitionistic indiscrete space, then f is continuous. Result 3.3 ([6], Proposition 4.4). f : X → Y is continuous if and only if f −1 (F ) ∈ IC(X), for each F ∈ IC(Y ). Result 3.4 ([6], Proposition 4.5). The followings are equivalent: (1) f : X → Y is continuous, (2) f −1 (Iint(B)) ⊂ Iint(f −1 (B)), for each B ∈ IS(Y ), (3) Icl(f −1 (B)) ⊂ f −1 (Icl(B)), for each B ∈ IS(Y ). Result 3.5 ([15], Theorem 3.1). The followings are equivalent: (1) f : X → Y is continuous, (2) f (Icl(A)) ⊂ Icl(f (A)), for each a ∈ IS(X). Definition 3.6. Let X, Y be ITSs. Then a mapping f : X → Y is said to be: (i) open [6], if f (A) ∈ IO(Y ), for each A ∈ IO(X), (ii) closed [15], if f (F ) ∈ IC(Y ), for each F ∈ IC(X). The following is the immediate result of the above definition. 5


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

Proposition 3.7. Let X, Y be an ITSs. (1) f : X → Y and g : Y → Z are open [resp. closed], then g ◦ f : X → Z is open [resp. closed]. (2) If both X and Y are intuitionistic discrete spaces, then f is continuous and open. Result 3.8 ([15], Theorem 3.2). f : X → Y be continuous and injective. Then Iintf (A) ⊂ f (Iint(A)), for each A ∈ IS(X). Result 3.9 ([15], Theorem 3.4). Let X, Y be ITSs. Then the followings are equivalent: (1) f : X → Y is open, (2) f (Iint(A)) ⊂ Iint(f (A)), for each A ∈ IS(X), (3) Iint(f −1 (B)) ⊂ f −1 (Iint(B)), for each ∈ IS(X). The following is the immediate result of Results 3.8 and 3.9. Corollary 3.10. f : X → Y be continuous, open and injective. Then Iintf (A) = f (Iint(A)), for each A ∈ IS(X). Result 3.11 ([15], Theorem 3.8). Let X, Y be ITSs and f : X → Y a mapping. Then f is closed if and only if Iclf (A)) ⊂ f (Icl(A)), for each A ∈ IS(X). The following is the immediate result of Results 3.5 and 3.11. Corollary 3.12. Let X, Y be ITSs and f : X → Y a mapping. Then f is continuous and closed if and only if Iclf (A)) = f (Icl(A)), for each A ∈ IS(X). Proposition 3.13. Let (X, τ ) be an ITS, let Y be a set and let f : X → Y be a mapping. We define a family τY ⊂ IS(Y ) as follows: τY = {U ∈ IS(Y ) : f −1 (U ) ∈ τ }. Then (1) τY ∈ IT (Y ), (2) f : (X, τ ) → (Y, τY ) is continuous, (3) if σ is an IT on Y such that f : (X, τ ) → (Y, σ) is continuous, then τY is finer than σ, i.e., σ ⊂ τY . Proof. (1) From Result 2.4 and the definition of an IT, we can easily show that τY ∈ IT (Y ). (2) It is obvious that f : (X, τ ) → (Y, τY ) is continuous, by the definition τY . (3) Let U ∈ σ. Since f : (X, τ ) → (Y, σ) is continuous, f −1 (U ) ∈ τ . Then by the definition τY , U ∈ τY . Thus σ ⊂ τY . Definition 3.14. Let (X, τ ) be an ITS, let Y be a set and let f : X → Y be a surjective mapping. Let τY = {U ∈ IS(Y ) : f −1 (U ) ∈ τ } be the IT on Y in Proposition 3.13. Then τY is called the intuitionistic quotient topology on Y induced by f . The pair (Y, τY ) is called an intuitionistic quotient space of X and f is called an intuitionistic quotient mapping. From Proposition 3.13, the intuitionistic quotient mapping f is not only continuous but τY is the finest topology on Y for which f is continuous. It is easy to prove 6


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

that if (Y, σ) is an intuitionistic quotient space of (X, τ ) with intuitionistic quotient mapping f , then F is closed in Y if and only if f −1 (F ) is closed in X. Proposition 3.15. Let (X, τ ) and (Y, σ) be ITSs, let f : X → Y be a continuous surjective mapping and let τY be the intuitionistic quotient topology on Y induced by f . If f is open or closed, then σ = τY . Proof. Suppose f is open. Since τY is the finest topology on Y for which f is continuous, σ ⊂ τY . Let U ∈ τY . Then by the definition of τY , f −1 (U ) ∈ τ . Since f is open and surjective, U = f (f −1 (U )) ∈ σ. Thus U ∈ σ. So τY ⊂ σ. Hence σ = τY . Suppose f is open. Then by the similar arguments, we can see that σ = τY . From Proposition 3.15, we can easily see that if f : (X, τ ) → (Y, σ) is open (or closed) continuous surjective, then f is an intuitionistic quotient mapping. The following is the immediate result of Definition 3.14. Proposition 3.16. The composition of two intuitionistic quotient mappings is an intuitionistic quotient mapping. Theorem 3.17. Let (X, τ ) be an ITS, let Y be a set, let f : X → Y be a surjection, let τY be the intuitionistic quotient topology on Y induced by f and let (Z, σ) be an ITS. Then a mapping g : Y → Z is continuous if and only if g ◦ f : X → Z is continuous. Proof. Suppose g : Y → Z is continuous. Since f : (X, τ ) → (Y, τY ) is continuous, by Proposition 3.2 (2), g ◦ f : (X, τ ) → (Z, σ) is continuous. Suppose g◦f : (X, τ ) → (Z, σ) is continuous and let V ∈ σ. Then (g◦f )−1 (V ) ∈ τ and (g ◦ f )−1 (V ) = f −1 (g −1 (V )). Thus by the definition of τY , g −1 (V ) ∈ τY . So g : (Y, τY ) → (Z, σ) is continuous. Theorem 3.18. Let (X, τ ) and (Y, σ) be ITSs and let p : X → Y be continuous. Then p is an intuitionistic quotient mapping if and only if for each ITS (Z, η) and each mapping g : Y → Z, the continuity of g ◦ p implies that of g. Proof. The proof is similar to one of an ordinary topological space.

Theorem 3.19. Let (X, τ ), (Y, σ) and (Z, η) be ITSs, let p : (X, τ ) → (Y, σ) be an intuitionistic quotient mapping and let h : (X, τ ) → (Z, η) be continuous. Suppose h ◦ p−1 is single-valued, i.e., for each y ∈ Y , h is constant on p−1 (yI ). Then (1) (h ◦ p−1 ) ◦ p = h and h ◦ p−1 is continuous, (2) h ◦ p−1 is open (closed) if and only if h(U ) is open (closed), whenever U is open (closed) in X such that U = p−1 (p(U )). Proof. (1) Let x ∈ X. Then xI ∈ p−1 (p(xI )). Since h is constant on p−1 (p(xI )), h(xI ) = h(p−1 (p(xI ))). On the other hand, h(p−1 (p(xI ))) = [(h◦p−1 )◦p](xI ). Thus h = (h ◦ p−1 ) ◦ p. Since h is continuous and p is an intuitionistic quotient mapping, by Theorem 3.18, h ◦ p−1 is continuous. (2) The proof is similar to one of an ordinary topological space. Theorem 3.20. Let (X, τ ), (Y, σ) and (Z, η) be ITSs, let p : (X, τ ) → (Y, σ) be an intuitionistic quotient mapping and let g : Y → Z be sujective. Then g ◦ p is an intuitionistic quotient mapping if and only if g is an intuitionistic quotient mapping. 7


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

Proof. The proof is similar to one of an ordinary topological space.

Definition 3.21 ([14]). Let X, Y be non-empty sets. Then R is called an intuitionistic relation (in short, IR) from X to Y , if it is an object having the form R = (RT , RF ) such that RT , RF ⊂ X × Y and RT ∩ RF = φ, where RT [resp. RF ] is called the set of members [resp. nonmembers] of R. In fact, R ∈ IS(X × Y ). In general, RT ∪ RF 6= X. In particular, R is called an intuitionistic relation on X, if R ∈ IS(X × X). The intuitionistic empty relation [resp. the intuitionistic whole relation] on X, denoted by φR,I [resp. XR,I ], is defined by φR,I = (φ, X × X) [resp. XR,I = (X × X, φ)]. We will denote the set of all IRs on X [resp. from X to Y ] as IR(X) [resp. IR(X × Y )]. It is obvious that if R ∈ IR(X × Y ), then RT , RF are ordinary relations from X to Y and conversely, if Ro is an ordinary relation from X to Y , then (Ro , Roc ) ∈ IR(X × Y ). Definition 3.22 ([3]). Let X, Y be non-empty sets, let R ∈ IR(X × Y ) and let (p, q) ∈ X × Y . (i) (p, q)I is said to belong to R, denoted by (p, q)I ∈ R, if (p, q) ∈ RT . (ii) (p, q)IV is said to belong to R, denoted by (p, q)IV ∈ R, if (p, q) ∈ / RF . Definition 3.23 ([14]). An IR R is called an intuitionistic equivalence relation (in short, IER) on X, if it satisfies the following conditins: (i) intuitionistic reflexive, i.e., RT is reflexive and RF is irreflexive, i.e., (x, x) ∈ / RF , for each x ∈ X, (ii) intuitionistic symmetric, i.e., RT and RF are symmetric, (iii) intuitionistic transitive, i.e., RT ◦RT ⊂ RT and RF ◦RF ⊃ RF , where ST ◦RT and denotes the ordinary composition and SF ◦ RF = (SFc ◦ RFc )c . We will denote the set of all IERs on X as IE(X). It is obvious that R ∈ IE(X) if and only if RT is an ordinary equivalence relation c and (RFc ◦ RFc )c ⊃ RF . on X, RF ⊂ IX Definition 3.24 ([14]). Let R ∈ IE(X) and let x ∈ X. Then the intuitionistic equivalence class (in short, IEC) of xI modulo R, denoted by RxI or [xI ], is an IS in X defined as: [ RxI = {yI ∈ XI : (x, y)I ∈ R}. S In fact, RxI = {yI ∈ XI : (x, y) ∈ RT }. We will denote the set of all IECs by R as X/R and X/R = {RxI : x ∈ X} will be called an intuionistic quotient set (in short, IQS) of X by R. Result 3.25 ([14], Proposition 4.23). Let f : X → Y be a mapping. Consider the IR Rf on X defined as: for each (x, y) ∈ X × X, (x, y)I ∈ Rf if and only if f (xI ) = f (yI ). Then Rf ∈ IE(X). In this case, Rf is called the intuitionistic equivalence relation determined by f . 8


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

Proposition 3.26. Let (X, τ ) and (Y, σ) be ITSs, let f : (X, τ ) → (Y, σ) be continuous and let Rf be the intuitionistic equivalence relation on X determined by f . Then (1) the intuitionistic natural mapping p : (X, τ ) → (X/Rf , τX/Rf ) is an intuitionistic quotient mapping, where τX/Rf denotes the intuitionistic quotient topology on X/Rf , (2) f ◦ p−1 is continuous injective, (3) if f is surjective, then bijective. Proof. (1) It is obvious. (2) Suppose xI , yI ∈ p−1 (z), for some z = [aI ] ∈ X/Rf . Then by the definition of Rf , f (xI ) = f (yI ). Thus f ◦ p−1 is single-valued. So by Theorem 3.19 (1), f ◦ p−1 is continuous. Now suppose [aI ], [bI ] ∈ X/Rf and f ◦p−1 ([aI ]) = f ◦p−1 ([bI ]). Let xI ∈ p−1 ([aI ]) and yI ∈ p−1 ([bI ]). Then f (xI ) = f (yI ). Thus (x, y)I ∈ Rf . So [aI ] = p(xI ) = p(yI ) = [bI ]. Hence f ◦ p−1 is injective. (3) Suppose S f is surjective and let y ∈ Y . Then there is x ∈ X such that f (x) = y. Since XI = X/Rf , [xI ] ∈ X/Rf and f ◦ p−1 ([xI ]) = yI . Thus f ◦ p−1 is surjective. So by (2), f ◦ p−1 is bijective Theorem 3.27. Let (X, τ ) and (Y, σ) be ITSs and let f : (X, τ ) → (Y, σ) be continuous surjective. Then f ◦ p−1 : X/Rf → Y is a homeomorphism if and only if f is an intuitionistic quotient mapping. Proof. Suppose f ◦ p−1 : (X/Rf , τX/Rf → (Y, σ) be a homeomorphism and let σY be the intuitionistic quotient topology on Y induced by f ◦ p−1 . Then by Proposition 3.13, σ = σY . Thus f ◦ p−1 is an intuitionistic quotient mapping. So by Theorem 3.20, (f ◦ p−1 ) ◦ p is an intuitionistic quotient mapping. On the other hand, f = (f ◦ p−1 ) ◦ p. Hence f is an intuitionistic quotient mapping. Suppose f : (X, τ ) → (Y, σ) is an intuitionistic quotient mapping. Since f is surjective, by Proposition 3.26 (3), f ◦ p−1 is bijective. Let U be any IOS in X/Rf such that U = p−1 (p(U )). Since p−1 (p(U )) = f −1 (f (U )), f −1 (f (U )) is open in X. Since f is an intuitionistic quotient mapping, f (U ) ∈ τ . Then by Theorem 3.19 (2), f ◦ p−1 is open. Thus f ◦ p−1 is a homeomorphism. Now we turn our attention toward another way of defining an intuitionistic quotient space. Definition 3.28. Let (X, τ ) be an ITS and let Σ be an intuitionistic partition of X. Let p : X → Σ be the mapping defined by: for each x ∈ X, p(xI ) = D and xI ∈ D, for some D ∈ Σ. If τΣ is the intuitionistic quotient topology on Σ induced by p, then (Σ, τΣ ) is called an intuitionistic quotient space and p is called the intuitionistic natural mapping of X onto Σ. The set Σ is called an intuitionistic decomposition of X and the intuitionistic quotient space (Σ, τΣ ) is called an intuitionistic decomposition space or an intuitionistic identification of X. Example 3.29. Let X = N, let A = ({n ∈ N : n is odd}, {n ∈ N : n is even}), B = ({n ∈ N : n is even}, {n ∈ N : n is odd}) and let Σ = {A, B}. Consider the mapping p : X → Σ given by: for each n ∈ X, 9


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

p(nI ) = A, if n is odd and p(nI ) = B, if n is even. Then clearly, Σ is an intuitionistic partition of X. Let τ be the usual intuitionistic topology on N and consider τN . Then clearly, τN is the intuitionistic discrete topology on N. Thus p−1 (A), p−1 (B) ∈ τN . So Σ is an intuitionistic decomposition of X. 4. Some types of intuitionistic continuities In this section, we define some types continuities, open and closed mappings. And we investigate relationships among them and give some examples. Definition 4.1. Let (X, τ ), (Y, σ) be an ITSs. Then a mapping f : X → Y is said to: (i) σ-τ -continuous, if it is continuous in the sense of Definition 3.1, (ii) σ-τI -continuous, if for each V ∈ σ, f −1 (V ) ∈ τI , (iii) σ-τIV -continuous, if for each V ∈ σ, f −1 (V ) ∈ τIV , (iv) σI -τ -continuous, if for each V ∈ σI , f −1 (V ) ∈ τ , (v) σI -τI -continuous, if for each V ∈ σI , f −1 (V ) ∈ τI (vi) σI -τIV -continuous, if for each V ∈ σI , f −1 (V ) ∈ τIV , (vii) σIV -τ -continuous, if for each V ∈ σIV , f −1 (V ) ∈ τ , (viii) σIV -τI -continuous, if for each V ∈ σIV , f −1 (V ) ∈ τI , (ix) σIV -τIV -continuous, if for each V ∈ σIV , f −1 (V ) ∈ τIV The followings are the immediate results of Definition 4.1 and Result 2.11. Proposition 4.2. Let (X, τ ), (Y, σ) be an ITSs, f : X → Y be a mapping and let p ∈ X. (1) If f is continuous, then it is both σ-τI -continuous and σ-τIV -continuous. (2) If σI -τ -continuous, then both σI -τI -continuous and σI -τIV -continuous. (3) σIV -τ -continuous, then both σIV -τI -continuous and σIV -τIV -continuous. The followings explain relationships among types of intutionistic continuities. Example 4.3. (See Examples 3.14) (1) Let X = {a, b, c, d} and consider ITs τ on X given by: τ = {φI , XI , A1 , A2 , A3 , A4 }, where A1 = ({a, b}, {d}), A2 = ({c}, {b, d}), A3 = (φ, {b, d}), A4 = ({a, b, c}, {d}). Moreover, τI = τ

[ {Ai : i = 5, 6, · · · , 23}, τIV = τ ∪ {A24 , A25 },

where A5 = ({c}, {b}), A6 = ({c}, {d}), A7 = ({a, b}, φ), A8 = ({a, b, c}, φ), A9 = ({c}, φ), A10 = (φ, {a}), A11 = (φ, {b}), A12 = (φ, {c}), A13 = (φ, {d}), A14 = (φ, {a, b}), A15 = (φ, {a, c}), A16 = (φ, {a, d}), A17 = (φ, {b, c}), A18 = (φ, {c, d}), A19 = (φ, {a, b, c}), A20 = (φ, {a, b, d}), A21 = (φ, {a, c, d}), A22 = (φ, {b, c, d}), A23 = (φ, φ), A24 = ({a, c}, {b, d}), A25 = ({a}, {b, d}). Let Y = {1, 2, 3, 4, 5} and let us consider ITS (Y, σ) given by: σ = {φI , XI , B1 , B2 }, 10


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

where B1 = ({1, 2, 3}, {5}), B2 = ({3}, {4, 5}). Then we can easily find τI and τIV : σI = σ ∪ {B3 , B4 , B5 , B6 } ∪ =, where B3 = ({1, 2, 3}, φ), B4 = ({3}, {4}),B5 = ({3}, {5}), B6 = ({3}, φ), = = {(φ, S) : S ⊂ Y } and σIV = σ ∪ {B7 , B8 , B9 , B10 , B11 , B12 , B13 , B14 , B15 , B16 , B17 , B18 }, where B7 = ({1, 2, 3, 4}, {5}), B8 = ({1, 3}, {4, 5}), B9 = ({2, 3}, {4, 5}), B10 = ({1, 2, 3}, {4, 5}), B11 = ({1, 3}, {4}), B12 = ({2, 3}, {4}), B13 = ({1, 2, 3}, {4}), B14 = ({1, 3}, {5}), B15 = ({2, 3}, {5}), B16 = ({1, 2, 3}, {5}), B17 = ({1, 2, 3}, φ), B18 = ({1, 2, 3, 4}, φ). Now let f : X → Y be the mapping defined by: f (a) = f (b) = 1, f (c) = 4, f (d) = 5. −1

(i) f (B1 ) = A1 ∈ τ, f −1 (B2 ) = A18 ∈ τI . Then f is not continuous but σ-τI -continuous. (ii) We can easily see that f −1 (U ) ∈ τI , for each U ∈ σI . Then f is σI -τI continuous. (iii) f −1 (B1 ), f −1 (B7 ) = ({a, b, c}, {d} ∈ / τIV . Then f is neither σ-τIV -continuous nor σIV -τIV -continuous. (iv)f −1 (B8 ) = ({a}, {c, d}) ∈ / τI . Then f is not σIV -τI -continuous. (2) Let X = {a, b, c, d}, Y = {1, 2, 3, 4, 5} and consider ITs τ and σ on X and Y , respectively given by: τ = {φI , XI , A1 , A2 , A3 , A4 } and σ = {φI , YI , B1 }, where A1 = ({a, b}, {d}), A2 = ({b, d}, {a, c}), A3 = ({b}, {a, c, d}), A4 = ({a, b, d}, φ) and B1 = ({1, 2}, {3, 4}). Then τI = τ ∪ {Ai : i = 5, · · · , 15} ∪ =X and τIV = τ ∪ {A17 }, where A5 = ({a, b}, φ), A6 = ({b, d}, φ), A7 = ({b, d}, {a}), A8 = ({b, d}, {c}), A9 = ({b}, φ), A10 = ({b}, {a}), A11 = ({b}, {c}), A12 = ({b}, {d}), A13 = ({b}, {a, c}), A14 = ({b}, {a, d}), A15 = ({b}, {c, d}), =X = {(φ, S) : S ⊂ X}, A17 = ({a, b, c}, {d}) and σI = σ ∪ {B2 , B3 , B4 } ∪ =Y , σIV = σ ∪ {B5 }, where B2 = ({1, 2}, φ), B3 = ({1, 2}, {3}), B4 = ({1, 2}, {4}), =Y = {(φ, S) : S ⊂ Y }, B5 = ({1, 2, 5}, {3, 4}). Let g : X → Y be the mapping defined by: g(a) = 3, g(b) = 1, g(c) = 4, g(d) = 2. −1

(i) g (B1 ) = A2 ∈ τ . Then g is continuous. (ii) g −1 (B2 ) = A6 , g −1 (B3 ) = A7 , g −1 (B4 ) = A8 ∈ τI but g −1 (B2 ) ∈ / τIV . Then g is σI -τI -continuous but not σI -τIV -continuous. (iii) g −1 (B5 ) = A2 ∈ τ but g −1 (B5 ) ∈ / τI and g −1 (B5 ) ∈ / τIV . Then g is σIV -τ continuous but neither σIV -τI -continuous nor σ-τIV -continuous. 11


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

Theorem 4.4. Let (X, τ ), (Y, σ) be the ITSs. Then (1) f : (X, τ ) → (Y, σ) is continuous if and only if f : (X, [ ]τ ) → (Y, [ ]σ) is continuous, (2) f : (X, τ ) → (Y, σ) is continuous if and only if f : (X, < > τ ) → (Y, < > σ) is continuous. Proof. (1) Suppose f : (X, τ ) → (Y, σ) is continuous and let (VT , VTc ) ∈ [ ]σ. Then by the definition of [ ]σ, there is V ∈ σ such that [ ]V = (VT , VTc ). Thus by the hypothesis, f −1 (V ) ∈ τ . So [ ]f −1 (V ) = f −1 ([ ]V ) ∈ [ ]τ . Hence f : (X, [ ]τ ) → (Y, [ ]σ) is continuous. Conversely, suppose f : (X, [ ]τ ) → (Y, [ ]σ) is continuous and let V ∈ σ. Then clearly, [ ]V ∈ [ ]σ. Thus by the hypothesis, f −1 ([ ]V ) = [ ]f −1 (V ) ∈ [ ]τ . So f −1 (V ) ∈ τ . Hence f : (X, τ ) → (Y, σ). (2) The proof is similar to (1). Proposition 4.5. Let (X, τ ) be the ITS such that τ ⊂ IS∗ (X). Then τ = τIV and τ = [ ]τ =< > τ . Proof. By Result 2.11, it is clear that τ ⊂ τIV . Let G ∈ τIV . By Result 2.10, G ∈ N (pIV ), for each pIV ∈ G. Then there exists UpIV ∈ τ such that pIV ∈ UpIV ⊂ G. Since τ ⊂ IS∗ (X),Sp ∈ (UpIV )T and p ∈ / (UpIV )F . ThusT c (UpIV )T = pIV ∈G,p∈Up )T {p} and (UpIV )F = pIV ∈G,p∈U / pIV )F {p} . IV S So G = pIV ∈G UpIV ∈ τ , i.e., τIV ⊂ τ . Hence τ = τIV . The proof of second part is clear. The followings are the immediate results of Propositions 4.2 and 4.5. Corollary 4.6. Let (X, τ ) be the ITS such that τ ⊂ IS∗ (X), (Y, σ) be an ITS and let f : X → Y be a mapping. Then (1) f is continuous if and only if it is σ-τIV -continuous, (2) f is σI -τ -continuous if and only if it is σI -τIV -continuous, (3) f is σIV -τ -continuous if and only if it is σIV -τIV -continuous. The followings are the immediate results of Propositions 4.2, 4.5 and Corollary 4.6. Corollary 4.7. Let (X, τ ), (Y, σ) be the ITSs such that τ ⊂ IS∗ (X), σ ⊂ IS∗ (Y ) and let f : X → Y be a mapping. Then the followings are equivalent: (1) f is continuous, (2) f is σ-τIV -continuous, (3) f is σIV -τIV -continuous. Definition 4.8. Let (X, τ ), (Y, σ) be an ITSs and let p ∈ Y . Then a mapping f : X → Y is said to be: (i) τ -σ-open, if it is open in the sense of Definition 3.6, 0 (ii) τ -σ-closed, if it is closed in the sense of Definition 3.6, (ii) τ -σI -open, if f (U ) ∈ σI , for each U ∈ τ , 0 (ii) τ -σI -closed, if f (F ) ∈ ICσI (Y ), for each F ∈ ICτ (X), (iii) τ -σIV -open, if f (U ) ∈ σIV , for each U ∈ τ , 0 (iii) τ -σIV -closed, if f (F ) ∈ ICσIV (Y ), for each F ∈ ICτ (X), 12


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

(iv) τI -σ-open, if f (U ) ∈ σ, for each U ∈ τI , 0 (iv) τI -σ-closed, if f (F ) ∈ ICσ (Y ), for each F ∈ ICτI (X), (v) τI -σI -open, if f (U ) ∈ σI , for each U ∈ τI , 0 (v) τI -σI -closed, if f (F ) ∈ ICσI (Y ), for each F ∈ ICτI (X), (vi) τI -σIV -open, if f (U ) ∈ σIV , for each U ∈ τI , 0 (vi) τI -σIV -closed, if f (F ) ∈ ICσIV (Y ), for each F ∈ ICτI (X), (vii) τIV -σ-open, if f (U ) ∈ σ, for each U ∈ τIV , 0 (vii) τV -closed, if f (F ) ∈ ICσ (Y ), for each F ∈ ICτIV (X), (viii) τIV -σI -open, if f (U ) ∈ σI , for each U ∈ τIV , 0 (viii) τIV -σI -closed, if f (F ) ∈ ICσI (Y ), for each F ∈ ICτIV (X), (ix) τIV -σ-open, if f (U ) ∈ σ, for each U ∈ τIV , 0 (ix) τIV -σ-closed, if f (F ) ∈ ICσ (Y ), for each F ∈ ICτIV (X), (x) τIV -σI -open, if f (U ) ∈ σI , for each U ∈ τIV , 0 (x) τIV -σI -closed, if f (F ) ∈ ICσI (Y ), for each F ∈ ICτIV (X), (xi) τIV -σIV -open, if f (U ) ∈ σIV , for each U ∈ τIV , 0 (xi) τIV -σIV -closed, if f (F ) ∈ ICσIV (Y ), for each F ∈ ICτIV (X). The followings are the immediate results of Definition 4.8, and Results 2.11 and 2.12. Proposition 4.9. Let (X, τ ), (Y, σ) be an ITSs, p ∈ Y and let f : X → Y be a mapping. (1) If f is open, then it is both τ -σI -open and τ -σIV -open. (2) If f is closed, then it is both τ -σI -closed and τ -σIV -closed. (3) If f is τI -σ-open, then it is both τI -σI -open and τI -σIV -open. (4) If f is τI -σ-closed, then it is both τI -σI -closed and τI -σIV -closed. (5) If f is τIV -σ-open, then it is both τIV -σI -open and τIV -σIV -open. (6) If f is τIV -σ-closed, then it is both τIV -σI -closed and τIV -σIV -closed. The followings explain relationships among types of intutionistic openness and closedness. Example 4.10. Let X = {1, 2, 3, 4, 5}, Y = {a, b, c, d} and consider ITs (X, τ ) and σ on X and Y , respectively given by: τ = {φI , XI , A1 , A2 , A3 , A4 }, σ = {φI , YI , B1 , B2 , B3 , B4 }, where A1 = ({1, 2, 3}, {5}), A2 = ({3}, {4}), A3 = ({3}, {4, 5}), A4 = ({1, 2, 3}, φ), B1 = ({a, b}, {d}), B2 = ({b}, {c}), B3 = ({b}, {c, d}), B4 = ({a, b}, φ). Then clearly, F1 = ({5}, {1, 2, 3}), F2 = ({4}, {3}), F3 = ({4, 5}, {3}), F4 = (φ, {1, 2, 3}) ∈ IC(X) and E1 = ({d}, {a, b}), E2 = ({c}, {b}), E3 = ({c, d}, {b}), E4 = (φ, {a, b}) ∈ IC(Y ). Furthermore, τI = τ ∪ {A5 , A6 } ∪ =X , τIV = τ ∪ {A7 , · · · , A18 } and σI = σ ∪ {B5 , B6 } ∪ =Y , σIV = σ ∪ {B7 , · · · , B13 }, 13


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

where A5 = ({3}, φ), A6 = ({3}, {5}), =X = {(φ, S) : S ⊂ X}, A7 = ({1, 2, 3, 4}, {5}), A8 = ({1, 3}, {4}), A9 = ({2, 3}, {4}), A10 = ({3, 5}, {4}), A11 = ({1, 2, 3}, {4}), A12 = ({2, 3, 5}, {4}), A13 = ({1, 2, 3, 5}, {4}), A14 = ({1, 3}, {4, 5}), A15 = ({2, 3}, {4, 5}), A16 = ({1, 2, 3}, {4, 5}), A17 = ({1, 2, 3, 4}, φ), A18 = ({1, 2, 3, 5}, φ) and B5 = ({b}, φ), B6 = ({b}, {d}), =Y = {(φ, S) : S ⊂ Y }, B7 = ({a, b, c}, {d}), B8 = ({a, b}, {c}), B9 = ({b, d}, {c}), B10 = ({a, b, d}, {c}), B11 = ({a, b}, {c, d}), B12 = ({a, b, c}, φ) B13 = ({a, b, d}, φ). Thus ICτI (X) = IC(X) ∪ {F5 , F6 } ∪ =cX , ICτIV (X) = IC(X) ∪ {F7 , · · · , F18 } and ICσI (Y ) = ICY ∪ {E5 , E6 } ∪ =cY , ICσIV (Y ) = ICY ∪ {E7 , · · · , E13 }, where F5 = (φ, {3}), F6 = ({5}, {3}), =cX = {(S, φ) : S ⊂ X}, F7 = ({5}, {1, 2, 3, 4}), F8 = ({4}, {1, 3}), F9 = ({4}, {2, 3}), F10 = ({4}, {3, 5}, F11 = ({4}, {1, 2, 3}), F12 = ({4}, {2, 3, 5}), F13 = ({4}, {1, 2, 3, 5}), F14 = ({4, 5}, {1, 3}), F15 = ({4, 5}, {2, 3}), F16 = ({4, 5}, {1, 2, 3}), F17 = (φ, {1, 2, 3, 4}), F18 = (φ, {1, 2, 3, 5}) and E5 = (φ, {b}), E6 = ({d}, {b}), =cY = {(S, φ) : S ⊂ Y }, E7 = ({d}, {a, b, c}), E8 = ({c}, {a, b}), E9 = ({c}, {b, d}), E10 = ({c}, {a, b, d}), E11 = ({c, d}, {a, b}), E12 = (φ, {a, b, c}), E13 = (φ, {a, b, d}). Let f, g, h : X → Y be the mappings defined by: f (1) = a, f (2) = f (3) = b, f (4) = c, f (5) = d, g(1) = a, g(2) = g(5) = d, g(3) = b, g(4) = c, h(1) = h(2) = a, h(3) = b, h(4) = c, h(5) = d. Then we can easily check the followings: (i) f is both open and τI -σ-closed but not closed; f is both τI -σI -open and τI σI -open; f is τIV -σIV -open but not τIV -σIV -closed. (ii) g is τ -σIV -open but neither open nor τ -σI -open; g is τI -σIV -open but neither τI -σ-open nor τI -σI -open; g is τIV -σIV -open but neither τIV -σ-open nor τIV -σI open; g is both closed and τI -σI -closed but neither τI -σ-closed nor τI -σIV -closed; g is τIV -σIV -closed but neither τIV -σ-closed nor τIV -σI -closed. (iii) h is both open and closed; h is both τI -σI -open and τI -σI -closed; h is both τIV -σIV -open and τIV -σIV -closed. Example 4.11. Let X = {1, 2, 3, 4}, Y = {a, b, c} and consider ITs (X, τ ) and σ on X and Y , respectively given by: τ = {φI , XI , A1 , A2 , A3 , A4 }, σ = {φI , YI , B1 , B2 , B3 , B4 }, where A1 = ({1, 2}, {3}), A2 = ({1, 4}, {3}), A3 = ({1}, {2, 3}), A4 = ({1, 2, 4}, {3}), B1 = ({a, b}, {c}), B2 = ({b}, {a}), B3 = ({b}, {a, c}), B4 = ({a, b}, φ). 14


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

Then clearly, F1 = ({3}, {1, 2}), F2 = ({3}, {1, 4}), F3 = ({2, 3}, {1}), F4 = ({3}, {1, 2, 4}) ∈ IC(X) and E1 = ({c}, {a, b}), E2 = ({a}, {b}), E3 = ({a, c}, {b}), E4 = (φ, {a, b}) ∈ IC(Y ). Furthermore, τI = τ ∪ {A5 , · · · , A12 } ∪ =X , τIV = τ ∪ {A13 } and σI = σ ∪ {B5 , B6 } ∪ =Y , σIV = σ ∪ {B7 }, where A5 = ({1, 2}, φ), A6 = ({1, 4}, {2}), A7 = ({1, 4}, {3}), A8 = ({1, 4}, φ), A9 = ({1}, {2}), A10 = ({1}, {3}), A11 = ({1}, φ), A12 = ({1, 2, 4}, φ), =X = {(φ, S) : S ⊂ X}, A13 = ({1, 2, 4}, {3}) and B5 = ({b}, φ), B6 = ({b}, {c}), =Y = {(φ, S) : S ⊂ Y }, B7 = ({a, b, c}, {d}). Thus ICτI (X) = IC(X) ∪ {F5 , · · · , F12 } ∪ =cX , ICτIV (X) = IC(X) ∪ {F13 } and ICσI (Y ) = ICY ∪ {E5 , E6 } ∪ =cY , ICσIV (Y ) = ICY ∪ {E7 }, where F5 = (φ, {1, 2}), F6 = ({2}, {1, 4}), F7 = ({3}, {1, 4}) F8 = (φ, {1, 4}), F9 = ({2}, {1}), F10 = ({3}, {1}, F11 = (φ, {1}), F12 = (φ, {1, 2, 4}), =cX = {(S, φ) : S ⊂ X}, F13 = ({4}, {1, 2, 3, 5}) and E5 = (φ, {b}), E6 = ({c}, {b}), =cY = {(S, φ) : S ⊂ Y }, E7 = ({d}, {a, b, c}). Let f : X → Y be the mappings defined by: f (1) = f (2) = b, f (3) = f (4) = a. Then we can easily check that: f is τ -σI -open but neither τ -σI -closed nor open. In fact, f is neither the remainder’s type open nor the remainder’s type closed. 5. Intuitionistic subspaces In this section, we introduce the notions of an intuitionistic subspace and the heredity, and obtain some properties of each concept. Definition 5.1 ([6]). Let (X, τ ) be an ITS. (i) A subfamily β of τ is called an intutionistic base (in short, IB) for τ , if for S 0 0 each A ∈ τ , A = φI or there exists β ⊂ β such that A = β . (ii) A subfamily σ of τ is called an intutionistic subbase (in short, ISB) for τ , if T 0 0 the family β = { σ : σ is a finite subset of σ} is a base for τ . S 0 In this case, the IT τ is said to be generated by σ. In fact, τ = {φI } ∪ { β : 0 β ⊂ β}. Example 5.2. (1) ([6], Example 3.10) Let σ = {((a, b), (−∞, a]) : a, b ∈ R} be the family of ISs in R. Then σ generates an IT τ on R, which is called the “usual left intuitionistic topology” on R. In fact, the IB β for τ can be written in the form β = {RI } ∪ σ and τ consists of the following ISs in R: φ I , RI ; 15


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

(∪(aj , bj ), (−∞, c]), where aj , bj , c ∈ R, {aj : j ∈ J} is bounded from below, c < inf {aj : j ∈ J}; (∪(aj , bj ), φ), where aj , bj ∈ R, {aj : j ∈ J} is not bounded from below. Similarly, one can define the “usual right intuitionistic topology” on R using an analogue construction. (2) ([6], Example 3.11) Consider the family σ of ISs in R σ = {((a, b), (−∞, a1 ] ∪ [b1 , ∞)) : a, b, a1 , b1 ∈ R, a1 ≤ a, b1 ≤ b}. Then σ generates an IT τ on R, which is called the “usual intuitionistic topology” on R. In fact, the IB β for τ can be written in the form β = {RI } ∪ σ and the elements of τ can be easily written down as in the above example. (3) ([11], Example 3.10 (3)) Consider the family σ[0,1] of ISs in R σ[0,1] = {([a, b], (−∞, a) ∪ (b, ∞)) : a, b ∈ R and 0 ≤ a ≤ b ≤ 1}. Then σ[0,1] generates an IT τ[0,1] on R, which is called the “usual unit closed interval intuitionistic topology” on R. In fact, the IB β[0,1] for τ[0,1] can be written in the form β[0,1] = {R} ∪ σ[0,1] and the elements of τ can be easily written down as in the above example. In this case, ([0, 1], τ[0,1] ) is called the “intuitionistic usual unit closed interval” and will be denoted by [0, 1]I , where [0, 1]I = ([0, 1], (−∞, 0) ∪ (1, ∞)). Definition 5.3 ([11]). Let a, b ∈ R such that a ≤ b. Then (i) (the closed interval) [a, b]I = ([a, b], (−∞, a) ∪ (b, ∞)), (ii) (the open interval) (a, b)I = ((a, b), (−∞, a] ∪ [b, ∞)), (iii) (the half open interval or the half closed interval) (a, b]I = ((a, b], (−∞, a] ∪ (b, ∞)), [a, b)I = ([a, b), (−∞, a) ∪ [b, ∞)), (iv) (the half intuitionistic real line) (−∞, a]I = ((−∞, a], (a, ∞)), (−∞, a)I = ((−∞, a), [a, ∞)), [a, ∞)I = ([a, ∞), (−∞, a)), (a, ∞)I = ((a, ∞), (−∞, a]), (v) (the intuitionistic real line) (−∞, ∞)I = ((−∞, ∞), φ) = RI . Definition 5.4. Let (X, τ ) be a ITS and let A ∈ IS(X). Then the collection τA = {U ∩ A : U ∈ τ } is called the subspace topology or relative topology on A. Example 5.5. (1) Let τ = {U ⊂ R : 0I ∈ U or U = φI } and let A = ([1, 2], ((−∞, 1), (2, ∞)) ∈ IS(R). Then we can easily show that τ is an IT on R and τA is the subspace topology on A. (2) Let X = {a, b, c, d} be a set and consider the IT τ given by: τ = {φI , XI , A1 , A2 , A3 , A4 }, where A1 = ({a, b}, {c}), A2 = ({a, c}, {b, d}), A3 = ({a}, {b, c, d}), A4 = ({a, b, c}, φ). Let A = ({a, d}, {b, c}). Then τA = {φI ∩ A, XI ∩ A, A1 ∩ A, A2 ∩ A, A3 ∩ A, A4 ∩ A} = {φI , A, ({a}, {b, c}), ({a}, {b, c, d}), ({a}, {d})}. 16


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

(3) Let (R, τ ) be the usual intuitionistic topological space. Consider A = ([0, 1], (−∞, 0) ∪ (1, ∞)) ∈ IS(R). Then τA = τ[0,1] . (4) Let τ be the usual intuitionistic topology on R and let U ⊂ [0, 1]I such that 0I , 1I ∈ / U . Then U ∈ τ[0,1] if and only if U ∈ τ . Suppose 0 < b < 1, for b ∈ R. Consider (−1, b)I = ((−1, b), (−∞, b] ∪ [b, ∞)) and (b, 2)I = ((b, 2), (−∞, b] ∪ [2, ∞)). Then (−1, b)I ∩ [0, 1]I = [0, b)I ∈ τ[0,1] and (b, 2)I ∩ [0, 1]I = (b, 1]I ∈ τ[0,1] . Thus β = {(a, b)I : 0 < a < b < 1} ∪ {[0, b)I : 0 < b < 1} ∪ {(b, 1]I : 0 < b < 1} is a base for τ[0,1] . (5) Let τ = {U ⊂ IS(R) : 0I ∈ U or U = φI }. Then we can easily prove that τ is an IT on R. Let A = [1, 2]I ∈ IS(R) and let xI , xIV ∈ A. Then clearly, {0I , xI , xIV } ∈ τ and {0I , xI , xIV } ∩ A = {xI , xIV } ∈ τA . Thus τA is the intuitionistic discrete topology. The following is the immediate result of Definition 5.4. Proposition 5.6. Let (X, τ ) be an ITS and let A ∈ IS(X). Then τA is an IT on A. Definition 5.7. Let (X, τ ) be a ITS, let A ∈ IS(X) and let τA be the subspace topology on A. Then the pair (A, τA ) is called a subspace of (X, τ ) and each member of τA is called a relatively open set (in short, an open set in A). Example 5.8. (1) Let (R, τ ) be the usual intuitionistic topological space. Then tauZ is the intuitionistic discrete topology on Z. (2) If τ is the intuitionistic discrete topology on a set X and A ∈ IS(X), then τA is the intuitionistic discrete topology on A. (3) If τ is the intuitionistic indiscrete topology on a set X and A ∈ IS(X), then τA is the intuitionistic indiscrete topology on A. The followings are the immediate results of Definition 5.4. Proposition 5.9. Let (X, τ ) be an ITS and let A, B ∈ IS(X) such that A ⊂ B. Then τA = (τB )A where (τB )A denotes the subspace topology on A by τB . Proposition 5.10. Let (X, τ ) be an ITS, let A ∈ IS(X) and let β be a base for τ . Then βA = {B ∩ A : B ∈ β} is a base for τA . Proposition 5.11. Let (X, τ ) be an ITS and let A ∈ τ . If U ∈ τA , then U ∈ τ . Theorem 5.12. Let (X, τ ) be an ITS, let A, B ∈ IS∗ (X) such that B ⊂ A. Then B is closed in (A, τA ) if and only if there exists F ∈ IC(X) such that B = A ∩ F . Proof. Suppose B is closed in (A, τA ). Then A − B ∈ τA . Thus there exists U ∈ τ such that A−B = A∩B c = A∩U , i.e., AT ∩BF = AT ∩UT and AF ∪BT = AF ∪UF . Since B ⊂ A and A, B ∈ IS∗ (X), we have BT = AT ∩ UF and BF = AF ∪ UT , i.e., B = A ∩ U c . Since U ∈ τ , U c ∈ IC(X). So B is closed in A. Conversely, suppose there exists F ∈ IC(X) such that B = A ∩ F . Then F c ∈ τ . Since A, B ∈ IS∗ (X), it is clear that A − B = A ∩ F c . Thus A − B ∈ τA . So B is closed in A. 17


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

The following is the immediate result of Theorem 5.12. Corollary 5.13. Let (X, τ ) be an ITS such that τ ⊂ IS∗ (X), let A ∈ IC(X) and let B ∈ IS∗ (X). If B is closed in A, then B ∈ IC(X). Proposition 5.14. Let (X, τ ) be an ITS such that τ ⊂ IS∗ (X), let A, B ∈ IS∗ (X) such that B ⊂ A. Then clτA (B) = A ∩ Icl(B), where clτA (B) denotes the closure of B in (A, τA ). Proof. Since Icl(B) T ∈ IC(X), A ∩ Icl(B) is closed in (A, τA ). Since B ⊂ A ∩ Icl(B) and clτA (B) = {F : F is closed in A and B ⊂ F }, clτA (B) ⊂ A ∩ Icl(B). On the other hand, clτA (B) is closed in A. Then by Theorem 5.12, there exists F ∈ IC(X) such that clτA (B) = A ∩ F . Since B ⊂ clτA (B), B ⊂ F . Thus Icl(B) ⊂ F . So A ∩ Icl(B) ⊂ A ∩ F . Hence A ∩ Icl(B) ⊂ clτA (B). Therefore clτA (B) = A ∩ Icl(B). Theorem 5.15. Let (X, τ ) be an ITS, let A, U ∈ IS(X) such that A ⊂ U and let a ∈ X. (1) If aI ∈ A, then U ∈ NτA (aI ) if and only if there exists V ∈ N (aI ) such that U = A ∩ V , where NτA (aI ) denotes the set of all neighborhoods of aI in (A, τA ). (2) If aIV ∈ A, then U ∈ NτA (aIV ) if and only if there exists V ∈ N (aIV ) such that U = A ∩ V , where NτA (aV ) denotes the set of all neighborhoods of aIV in (A, τA ). Proof. Suppose U ∈ NτA (aI ). Then there exists G ∈ τA such that aI ∈ G ⊂ U . Since G ∈ τA , there exists H ∈ τ such that G = A ∩ H. Let V = U ∪ H. Then clearly, aI ∈ H ⊂ V . Thus V ∈ N (aI ). Since G = A ∩ H, U = A ∩ V . So the necessary condition holds. The proof of the converse is easy. (2) The proof is similar. Proposition 5.16. Let (X, τ ), (Y, σ) be ITSs and let A ∈ IS(X), B ∈ IS(Y ). (1) The inclusion mapping i : A → X is continuous. (2) If f : X → Y is continuous, then f |A : A → Y is continuous. (3) If f : X → B is continuous, then the mapping g : X → Y defined by g(x) = f (x), for each x ∈ X is continuous. (4) If f : X → Y is continuous and f (XI ) ⊂ B, then the mapping g : X → B defined by g(x) = f (x), for each x ∈ X is continuous. Proof. (1) Let U ∈ τ . Then clearly, A ∩ U ∈ τA and i−1 (U ) = A ∩ U . Thus i is continuous. (2) Let U ∈ σ. Then clearly, f −1 (U ) ∈ τ . Thus A ∩ f −1 (U ) ∈ τA and (f |A )−1 (U ) = A ∩ f −1 (U ). Thus (f |A )−1 (U ) ∈ τA . So f |A is continuous. (3) Let U ∈ σ. Then clearly, B ∩ U ∈ σB . Since f : X → B is continuous, f −1 (B ∩ U ) = f −1 (U ) ∈ τ . Since g(x) = f (x), for each x ∈ X, g −1 (U ) = f −1 (U ). Thus g −1 (U ) ∈ τ . So g is continuous. (4) Let U ∈ σB . Then there is V ∈ σ such that U = B ∩ V . Since f : X → Y is continuous, f −1 (V ) ∈ τ . On the other hand, g −1 (U ) = g −1 (B) ∩ g −1 (V ) = X ∩ f −1 (V ) = f −1 (V ). 18


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

Thus g −1 (U ) ∈ τ . So g is continuous.

Proposition 5.17. Let X, YSbe ITSs, let f : X → Y be a mapping, let {Uj : j ∈ J} ⊂ IO(X) such that XI = j∈J Uj and let f |Uj : Uj → Y is continuous, for each j ∈ J. Then so is f . Proof. Let V ∈ IO(Y ) and let j ∈ J. Then by the hypothesis, (f |Uj )−1 (V ) ∈ IO(Uj ). Since Uj ∈ IO(X), by Proposition 5.16 (2), (f |Uj )−1 (V ) ∈ IO(X). Thus S f −1 (V ) = j∈J (f |Uj )−1 (V ) ∈ IO(X). So f is continuous. Proposition 5.18. Let (X, τ ) be an ITS such that τ ⊂ IS∗ (X), let (Y, σ) be an ITS, let A, B ∈ IC(X) such that XI = A ∪ B and let f : A → Y , g : B → Y be continuous such that f (x) = g(x), for each x ∈ AT ∩ BT . Define h : X → Y as follows: h(x) = g(x), ∀x ∈ AT and h(x) = g(x), ∀x ∈ BT . Then h is continuous. Proof. Let F ∈ IC(Y ). Since f : A → Y and g : B → Y are continuous, by Result 3.3, f −1 (F ) is closed in A and g −1 (F ) is closed in B. Since A, B ∈ IC(X), by Corollary 5.13, f −1 (F ), g −1 (F ) ∈ IC(X). On the other hand, h−1 (F ) = f −1 (F ) ∪ g −1 (F ). Then h−1 (F ) ∈ IC(X). Thus by Result 3.3, h is continuous. Definition 5.19. An intuitionistic topological property P is said to be hereditary if every subspace of an ITS with P also has P . For separation axioms in intuitionistic topological spaces, see [3, 12]. Proposition 5.20. (1) T0 (i) is hereditary, i.e., every subspace of a T0 (i)-space is T0 (i). (2) T1 (i) is hereditary, i.e., every subspace of a T1 (i)-space is T1 (i). (3) T2 (i) is hereditary, i.e., every subspace of a T2 (i)-space is T2 (i). Proof. Let (X, τ ) be an ITS and let A ∈ IS(X). (1) Suppose (X, τ ) is T0 (i) and let xI 6= yI ∈ A. Then clearly, x 6= y ∈ X. Thus by the hypothesis, there exists U ∈ τ such that xI ∈ U, yI ∈ / U or xI ∈ / U, yI ∈ U . Let V = A ∩ U . Then clearly, V ∈ τA . Moreover, xI ∈ V, yI ∈ / V or xI ∈ / V, yI ∈ V. Thus (A, τA ) is T0 (i). (2) Suppose (X, τ ) is T1 (i) and let xI 6= yI ∈ A. Then clearly, x 6= y ∈ X. Thus by the hypothesis, there exists G, H ∈ τ such that xI ∈ G, yI ∈ / G and xI ∈ / H, yI ∈ H. Let U = A ∩ G and let V = A ∩ H. Then clearly, U, V ∈ τA . Moreover, xI ∈ U, yI ∈ / U or xI ∈ / V, yI ∈ V. Thus (A, τA ) is T1 (i). (3) Suppose (X, τ ) is T2 (i) and let xI 6= yI ∈ A. Then clearly, x 6= y ∈ X. Thus by the hypothesis, there exists G, H ∈ τ such that xI ∈ G, yI ∈ H and G ∩ H = φI . Let U = A ∩ G and let V = A ∩ H. Then clearly, U, V ∈ τA . Since G ∩ H = φI , U ∩ V = φI . Moreover, xI ∈ U and yI ∈ V . So (A, τA ) is T2 (i). Proposition 5.21. Let (X, τ ) be an ITS such that τ ⊂ IS∗ (X). (1) T3 (i) is hereditary, i.e., every subspace of a T3 (i)-space is T3 (i). (2) An intuitionistic complete regularity is hereditary, i.e., every subspace of intuitionistic complete regular space is intuitionistic complete regular. 19


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

Proof. (1) Suppose (X, τ ) be T3 (i) and let A ∈ IS∗ (X). Since (X, τ ) is T1 (i), by Proposition 5.20 (2), (A, τA ) is T1 (i). Let B be closed in (A, τA ) such that xI ∈ B c . Then by Theorem 5.12, there exists F ∈ IC(X) such that B = A∩F . Since xI ∈ B c , xI ∈ F c . Thus by hypothesis, there exist U, V ∈ τ such that F ⊂ U , xI ∈ V and U ∩ V = φI . So A ∩ U, A ∩ V ∈ τA and (A ∩ U ) ∩ (A ∩ V ) == φI . Moreover, F ⊂ A ∩ U and xI ∈ A ∩ V . Hence (A, τA ) is T3 (i). (2) Suppose (X, τ ) be an intuitionistic complete regular space and let A ∈ IS∗ (X). Since (X, τ ) is T1 (i), by Proposition 5.20 (2), (A, τA ) is T1 (i). Let B be closed in A such that xI ∈ B c . Then by Theorem 5.12, there exists F ∈ IC(X) such that B = A ∩ F . Since xI ∈ B c , xI ∈ F c . Thus by the hypothesis, there exists a continuous mapping f : X → [0, 1]I such that f (xI ) = 1I and f (yI ) = 0I , for each yI ∈ F . Since f : X → [0, 1]I is continuous, by Proposition 5.16 (2), f |A : A → [0, 1]I is continuous. Let yI ∈ B. Since B = A ∩ F , yI ∈ F . So f |A (yI ) = f (yI ) = 0I . Moreover, f |A (xI ) = f (xI ) = 1I . Hence (A, τA ) is intuitionistic complete regular. Proposition 5.22. Let (X, τ ) be an ITS such that τ ⊂ IS∗ (X) and let A ∈ IC(X). If (X, τ ) is T4 (i), then (A, τA ) is T4 (i). Proof. Suppose (X, τ ) is T4 (i) and let A ∈ IC(X). Since (X, τ ) is T1 (i), by Proposition 5.20 (2), (A, τA ) is T1 (i). Let B and C be closed in A such that B∩C = φI . Then by Theorem 5.12, there exists F1 , F2 ∈ IC(X) such that B = A∩F1 and C = A∩F2 . Since A ∈ IC(X), B, C ∈ IC(X). Thus by the hypothesis, U, V ∈ τ such that B ⊂ U , C ⊂ V and U ∩ V = φI . So A ∩ U, A ∩ V ∈ τA and (A ∩ U ) ∩ (A ∩ V ) = φI . Moreover, B ⊂ A ∩ U and C ⊂ A ∩ V . Hence (A, τA ) is T4 (i). 6. Conclusions In this paper, we mainly dealt with some properties of quotient mappings, various types of continuities, open and closed mappings in intuitionistic topological spaces. In particular, we defined continuities, open and closed mappings under the global sense but did not define them under the local sense. References [1] K. Atanassov, Intuitionistic fuzzy sets, VII ITKR’s Session, Sofia (September, 1983) (in Bugaria). [2] C. Bavithra, M. K. Uma and E. Roja, Feeble compactness of intuitionistic fell topological space, Ann. Fuzzy Math. Inform. 11 (3) (1016) 485–494. [3] Sadik Bayhan and D. Coker, On separation axioms in intuitionistic topological spaces, IJMMS 27 (10) (2001) 621–630. [4] Sadik Bayhan and D. Coker, Pairwise separation axioms in intuitionistic topological spaces, Hacettepe Journal of Mathematics and Statistics 34 S (2005) 101–114. [5] D. Coker A note on intuitionistic sets and intuitionistic points, Tr. J. of Mathematics 20 (1996) 343–351. [6] D. Coker An introduction to intuitionistic topological spaces, VUSEFAL 81 (2000) 51–56. [7] E. Coskun and D. Coker On neighborhood structures in intuitionistic topological spaces, Math. Balkanica (N. S.) 12 (3–4) (1998) 283–909. [8] Taha H. Jassim Completely normal and weak completely normal in intuitionistic topological spaces, International Journal of Scientific and Engineering Research 4 (10) (2013) 438–442. [9] J. C. Kelly, Bitopological spaces, Proc. London Math. Soc. 13 (1963) 71-0-89. [10] J. H. Kim, P. K. Lim, J. G. Lee, K. Hur, The category of intutionistic sets, To be submitted. [11] J. H. Kim, P. K. Lim, J. G. Lee, K. Hur, Intuitionistic topological spaces, To be submitted.

20


J. G. Lee et al./Ann. Fuzzy Math. Inform. x (201y), No. x, xx–xx

[12] J. H. Kim, P. K. Lim, J. G. Lee, K. Hur, Separation axioms in intuitionistic topological spaces, To be submitted. [13] J. G. Lee, P. K. Lim, J. H. Kim, K. Hur, Intuitionistic limit points and nets, To be submitted. [14] J. G. Lee, P. K. Lim, J. H. Kim, K. Hur, Intuitionistic relations, To be submitted. [15] S. J. Lee and J. M. Chu, Categorical properties of intuitinistic topological spaces, Commun. Korean Math. Soc. 24 (4) (2009) 595–603. [16] Ahmet Z. Ozcelik and Serkan Narli, On submaximality in intuitionistic topological spaces, International Scholarly and Scientific Research and Innovation 1 (1) (2007) 64–66. [17] A. A. Salama, Mohamed Abdelfattah and S. A. Alblowi, Some Intuitionistic Topological Notions of Intuitionistic Region, Possible Application to GIS Topological Rules, International Journal of Enhanced Research in Management and Computer Applications 3 (5) (2014) 4–9. [18] S. Selvanayaki and Gnanambal Ilango, IGPR-continuity and compactness intuitionistic topological spaces, British Journal of Mathematics and Computer Science 11 (2) (2015) 1–8. [19] S. Selvanayaki and Gnanambal Ilango, Homeomorphism on intuitionistic topological spaces, Ann. Fuzzy Math. Inform. 11 (6) (2016) 957–966.

J. G. Lee (jukolee@wku.ac.kr) Department of Mathematics Education, Wonkwang University, 460, Iksan-daero, Iksan-Si, Jeonbuk 54538, Korea P. K. Lim (pklim@wku.ac.kr) Division of Mathematics and Informational Statistics, Institute of Basic Natural Science, Wonkwang University, 460, Iksan-daero, Iksan-Si, Jeonbuk 54538, Korea J. Kim (junhikim@wku.ac.kr) Division of Mathematics and Informational Statistics, Institute of Basic Natural Science, Wonkwang University, 460, Iksan-daero, Iksan-Si, Jeonbuk 54538, Korea K. Hur (kulhur@wku.ac.kr) Division of Mathematics and Informational Statistics, Institute of Basic Natural Science, Wonkwang University, 460, Iksan-daero, Iksan-Si, Jeonbuk 54538, Korea

21


Turn static files into dynamic content formats.

Create a flipbook