Evaluating and Prioritizing Risks in Infrastructure Projects by Fuzzy Multi-Criteria Decision-Making Methods: A Review
R. C. Rajput 1 , S. S. Kulkarni 22Professor, Department of Civil Engineering, Rajarambapu Institute of Technology, Rajaramnagar
Abstract - Location selection is one of the most significant difficulties to decision-makers , investors and it can be evaluated using (MCDM) approaches. MCDM techniques are effective tools for resolving decision-makingproblemsbecause they analyze options from a variety of viewpoints in light of a wide range of conflicting criteria. In this context, MCDM techniques may be employed effectively with (FST), that captures insecurity in people views, to create more sensitive, and precise results. It is suggested to use a fuzzy multi-criteria decision model (FMCDM) to determine the ideal site based on a variety of variables.
The Fuzzy Analytical Hierarchy Process (FAHP) is utilized in the initial stage to estimate the relative criterion classification via the assessment process. In the second step, the prospective alternative locations are rated according to fuzzy (FTOPSIS). According to the study'sfindings,integrating FAHP and FTOPSIS is the FMCDM technique most frequently utilized to determine the best location for infrastructure projects.
Key Words: FMCDM(fuzzymulti-criteriadecisionmodel) FST (fuzzy set theory), Relative criterion classification, FTOPSIS(Thefuzzytechniqueoforderpreferenceutilizing similarities to the ideal solution), FAHP (Fuzzy Analytical HierarchyProcess)
1. INTRODUCTION
Theprocessofanalyzinga collectionofchoicesin view of severalcriteriainaccordancewiththeadviceofexpertsis known as (MCDM). It has been extensively employed to address challenging decision-making issues. Decisionmakers must compare many choices based on their performance and choose the best option to maximize advantagesbecausethehotelandtourismindustriesinclude complicated practical difficulties. In this regard, MCDM methods are practical approaches to deal with decisionmakingissuesintheinfrastructure,hospitality,andtourism sectors, assisting tourism institutions, hotel management, and travelers in making logical choices. A number of approaches, including the (AHP), (ANP), Decision-making trial and evaluation laboratory (DEMATEL), (TOPSIS), (MCDM) approach also others, possess been used for examine majorityofsiteselectionchallenges.Theanalytic method, mixed integer/linear integer/goal programming,
cloudy sets, (MODM), cluster analysis, and other soft computingtechniqueswerealsoused.
First, based on the recommendations of experts and literatureresearch,thefuzzyAHPapproachisusedtoassess theweightingsofthecriterion.Followingthat,fuzzyTOPSIS is used to rank the sites that can be used instead of the healthy one. Considering the priority ranking of the infrastructureprojects,themodel'soutputaidsinvestorsin continueddevelopment.
2. Literature Review
Long Chen, Wei Pan. [1] Inthispaper,fuzzymulti-criteria decisionmaking(FMCDM)isgainingpopularityasauseful methodfordealingwithcomplicatedproblemsthatinvolvea varietyofdecision-makers,competinggoals,andawealthof information that is both plentiful and unpredictable. Prior studies mostly focused on the concept and application of FMCDMapproachesinconstructionmanagement.Despitethe fact that there have been numerous studies of FMCDM techniques and applications to provide summaries also criticisms in the writing absence taking into account the linkages the interval cloudy sets, MCDM, also related applications. In order to summarise the development of FMCDMprovideperspectivesonrelationshipsbetweenFSs, MCDM,andassociatedapplications,thisstudywillcarefully review and analyse the literature on FMCDM in CM from 2007to2017usinganetworkmethod.
Tulio Silveira Santos, Licinio Da Silva Portugal, et al [2]
Themotoofthisstudyistothoroughlyevaluateandassess the assessment on FMCDM from 2007 to 2017 according networkmethodtobothsummariesthegrowthofFMCDM andofferperspectivesontheconnectionstheintervalFSs, MCDM.First,165paperpublicationswithatotalof37singlehybrid and 17 multiple-hybrid FMCDM approaches were selected.
P Baruah , M Kakati. [3] Thisstudyintroducesandevaluates thesemethodologies'contemporaryapplication,highlighting theircharacteristics,advantages,anddisadvantages.Thenext stepistoconductanetworkmeta-analysisaccordingonthe assessmenttolookintotheconnectionsbetweenFSs,MCDM methods in order to create an FMCDM-CM profile From recent FMCDM practice is compiled, based on those networks
Yunna Wu, Han Chu, Chuanbo Xu [4] In this paper, contrast to conventional evaluation, which employs only quantitativevariablesinitsapplications,thisstudyproposes amethodtohelpanalysestheeffectivenessofpublic-private partnerships for highway concessions. This approach combines the use of numerical and linguistic traits. The roadside accommodations, have the rating assessment criteria which makes it simpler to employ the suggested method. The results show a tendency for the operational category to be given more weight in the specialists' evaluationsthantheothercategories, currentlyinplacefor the two case studies are not the best way to display categories'considerinviewfromthespecialists'assessment.
Cterina Caprioli, Marta Bottero [5] Five simple sample fuzzy logic modules have been created in this work to estimatethepossibilityofnumerousimportantevents.The Delphi method has been used to further improve the modules'outputs.'10%+Modevalue'hasbeentakeninto considerationasthecriterionforconvergenceofcrispvalue in the Delphi procedure. Data gathered through questionnairesandsurveysconductedaspartoftheresearch wereusedtovalidatethedevelopedmodules.Withtheuseof ourdevelopedmodules,dataanalysisfromafewcasestudy projectshasshownthatmanaging"O&Mrisk"isnowmost vulnerableinIndia.
Gokhan Ozkaya, Ceren Erdin [6] Thispaperpresents,case study of choice aims to highlight the role of spatial multicriteriaanalysisinaidingDecisionMakers(DMs)inthe identificationofappropriatelocationsforurbanfacilitiesand demonstratesthepotentialofthemethodforincreasingthe participation of various stakeholders through a straightforward visual representation of data and results. AnalyticHierarchicalProcess(AHP)andFuzzyAHP(FAHP) arespecificallyusedinthisresearch.Thecontrastbetween thetwomethodsdemonstratesthattheymaybothbeusedto locateurbaninfrastructureinplacesthataresuitableforit. However,thisstudyshowsthatAHPshouldbechosenwhen all of the criteria are highly relevant, but FAHP introduces greater uncertainty in the weighting of the criterion and easestheburdenofmanygeographicalanalyseswithGIS.
Sadoullah Ebrahimnejad, Seyed Meysam, et al. [7] Inthis study,thecloudyapproachesFTOPSISandFAHPandMCDM were utilized. ways for solutions. which evaluation techniquesareoptimalforchoosingranks.Fiveteachers,five softwaredevelopers,andfivefactorsconnectedtoteachers andsoftwaredevelopersaretakenintoconsideration.These data were gathered from various educational or software organizations, and weighted values were assessed. ComparingtheranksattainedusingFAHPandFTOPSIS,itis determinedthattheyaresatisfactory.
Muhammad Saiful Islam, Madhav Prasad Nepal, et al. [8] Inthisstudy,weighsthecriteriaforsmartandsustainable citiesusingthe(ANP).Thefindingsshowthat"smartliving" is the most crucial quality, receiving a priority score of
35,459%,and"smartgovernance"isrankedlast,receivinga scoreof5,738%.TheTOPSISmethodutilizestodifferentiate. results across 44 cities in 44 different countries. The top three cities in the overall list are Tokyo,London, and New York, according to the data. In terms of good governance, mobility, and environmental characteristics, none of these citiesrankinthetopfive.Thearticleofferssomesuggestions for the cities based on the findings. These findings are intendedtoassistcitiesinunderstandinghowtheycompare toothercitiesandinidentifyingareaswherestrongerpolicy isneeded.
Sheng-Hau Lin, Xiaofeng Zhao, et al [9] This research attempts to pinpoint common risks in BOTinitiatives. The descriptionofahierarchicaldiagramofdangersisbasedona perspectivethatiswork-focused.Then,fewhelpfulstandards forratingriskinBOTprojectsareprovided.The(FMADM) fieldisthenusedtodefinetheproblem.The(FTOPSIS)and (FLINMAP)aretwomethodsforevaluatingBOTworkcarries a lot dangers, that are detailed in this article. In Iran BOT powerplantprojectusesthesuggestedapproachtodetect andassessrisks.Based ontheirfindings,arankingofhigh hazardsisdeterminedatthestudy'sconclusion.
F.H. Abanda, E.L. Chia, et al. [10] Thepurposeofthisstudy istostudyadditionally,considerbasicconceptsandmethods currentlybeingusedinthissubject.Athoroughassessment ofpublicationsfromtheyears2005to2017isusedtocreate acontentanalysis.Ithasbeendiscoveredthatthemajorityof risks are interdependent on one another because of the natureofcomplicatedprojects.Consequently,a structured approach,suchthe(FANP),hasbeenemployedregularlyfora varietyofdifficultundertakings.Thepairwisecomparisons essential for FANP's application, however, must be made usingarduousandtime-consumingcalculations,andtherisk structurecannotbeupdatedtoaccountfornewinformation. The(FBBN)havebecomemorepopularforriskassessment asawaytogetaroundthisrestriction.Inordertosupport FBBN'swiderapplication,additionalproject-specificresearch isadvised.
H.D. Arora, Anjali Naithani [11] Inthispaper,Theresults demonstrate that the (AHP), among the several MCDM techniques in peer-reviewed literature, is most commonly used in research while the most widely used MCDM techniques in practise. In this study, intuitionistic, Pythagorean,andFermateanfuzzysetsaredefinedinrespect to quartic fuzzy sets. We also study the set operations, scoringfunction,andaccuracyfunctionofquarticfuzzysets. The proposed Euclidean measured of separation and similarityforquarticcloudysetswillaidfromtheresolution of numerous real-world situations involving uncertainty. Then, in order to address the issue of numerous criterion decision-making, we create an algorithm. To show the benefitsofthesuggestedquarticfuzzysets,acomparisonof the novel quarticfuzzysetswith thecurrent intuitionistic, Pythagorean, and Fermatean fuzzy sets is given. Finally, a real-worldexampleisgiventoshowhowusefulandeffective
thesuggestedfuzzysetsare.Thestudy'sfindingsshowthat the new definitionof quartic fuzzy sets produces themost reliableandconsistentrankingfordealingwithambiguous andunclearinformation.
Diogo Silva Costa, Henrique S. Mamede, et al. 12] Inthis study,amethodforchoosingprocessesforautomationthat combines(TOPSIS)and(AHP)issuggested,illustrated,and assessed.Theproposedstrategyforchoosingprocessesfor automationisappliedtoareal-worldscenariointhisstudy, whichadherestotheDesignScienceResearchMethodology (DSRM). The outcome will be a technique to aid in the appropriateselectionofbusinessprocessesforautomation, boosting the success of RPA tool implementation in an organization
Mohsen Nezami, Mohammad Reza Adlparvar, et al [13] Inthispaper,ordertolessendataloss,thestudy'ssuggested methodology is expanded on the basis of last aggregation. Thedevelopedapproachthenutilizedonagenuineresearch, and results are cross-checked against those of a current research published in the methodology, to guarantee the validityfromconclusions.Todeterminetheparametersthat have the most potential to alter the results, a sensitivity analysis is finally tweaked. The DIF-collective criteria approachisusedtocalculateeachcriterion'sweight,andthe establishedDIF-DEMATELmethodologyisusedtocalculate theinterdependenciesbetweencriteria.
Abbas Mardani, Ahmad Jusoh, et al. [14] Thesystematic reviewofFMCDMmethodologiesandapplicationsisthemain goal of this work. For this analysis, papers in all were published.Thestudy'sfindingsshowthat2013sawarecord numberofscholarlypublicationspublished.Intheintegrated method, hybrid fuzzy MCDM have been methodologies currentlybeingused,respectively.
3. CONCLUSIONS
Theanalysisoftheaforementionedresearchpapersledto theconclusionthatseveralscholarshavelookedintovarious issues pertaining to fuzzy multi-criteria decision-making processes in PPP-based projects. Additionally, it is mentioned according fuzzy MCDM procedures in PPP projects is crucial to the project's success. Numerous techniquesaredeveloped,andeachrisk'srankandRIIare examined. Analysis results reveal various RII values dependingonthevariousriskparametersusedinvarious fuzzy decision-makingtechniques.Therewas developeda systematic Methodology for assessing in these projects. Theseinitiativesusedathoroughanalysisoftheliteratureto identifythemostimportantfirst-andsecond-levelrisks.In order to construct the structure. For qualitative and quantitative analysis, fuzzy MCDM techniques were employed to rank the risks that had been discovered in termsofimportance.
Futureresearchonthistopicwillfocusonfindingthebest method for calculating the ideal RII value using mathematical programming models. By adapting the suggestedstrategytootherkindsoffuzzysetslikeVIKOR, WASPAS ANP, and DEMATEL, the research could be furthered. Depending on the degree of uncertainty in the risksandtheexpertisethatmustbedealtwith,theproposed methodcanbesimplyexpandedtovariousfuzzycontexts.
REFERENCES
[1] Long Chen, Wei Pan. “Review Fuzzy Multi-Criteria Decision-MakinginConstructionManagementUsinga NetworkApproach.”
[2] Tulio Silveira Santos, Licinio Da Silva Portugal, Paulo CezarMartinsRibeiro.“EvaluatingThePerformanceof Highway Concessions Through Public-Private Partnerships Using a Fuzzy Multi-Criteria DecisionMakingProcedure.”
[3] P Baruah and M Kakati, “Developing Some Fuzzy Modules for Finding Risk Probabilities in Indian PPP Projects.”
[4] YunnaWu,HanChu,ChuanboXu,“RiskAssessmentof Wind-Photovoltaic-HydrogenStorageProjectsUsingan ImprovedFuzzySyntheticEvaluationApproachBased onCloudModel:ACaseStudyinChina.”
[5] Cterina Caprioli,Marta Bottero, “AddressingComplex Challenges in Transformations and Planning: A fuzzy Spatial Multi-Criteria Analysis for Identifying Suitable LocationsforUrbanInfrastructures.”
[6] GokhanOzkaya,CerenErdin,“EvaluationofSmartand SuitableCitiesThroughaHybridMCDMApproachBased onANPandTOPSISTechnique.”
[7] Sadoullah Ebrahimnejad, Seyed Meysam Mousavi, Hamed Seyrafianpour, “Risk Identification and Assessment for Build-Operate-Transfer Projects: A FuzzyMultiAttributeDecisionMakingModel.”
[8] MuhammadSaifulIslam,MadhavPrasadNepal,Martin Skitmore, Meghdad Attarzadeh, “Current Research Trends and Application Areas of Fuzzy and Hybrid Methods to The Risk Assessment of Construction Projects.”
[9] Sheng-HauLin,XiaofengZhao,JiuxingWu,FachaoLiang, Jia-Hsuan Li, Ren-Ji Lai, Jing-Chzi Hsieh, Gwo-Hshiung Tzeng,“AnEvaluationFrameworkforDevelopingGreen InfrastructurebyUsingaNewHybridMultipleAttribute Decision-Making Model for Promoting Environmental Sustainability.”
[10] F.H. Abanda, E.L. Chia, K.E. Enongene, M.B. Manjia, K. Fobissie, U.J.M.N. Pettang, C. Pettang, “A Systematic Review of The Application of Multi-Criteria DecisionMaking in Evaluating Nationally Determined ContributionProjects.”
[11] H.D.Arora,AnjaliNaithani,“Anewdefinitionforquartic fuzzysetswithhesitationgradeappliedtomulti-criteria decision-makingproblemsunderuncertainty.”
[12] DiogoSilvaCostaa,HenriqueS.Mamedeb,c,“Miguel Mira da Silva, “A method for selecting processes for automationwithAHPandTOPSIS.”
[13] MohsenNezami,MohammadRezaAdlparvar,Mahtiam Shahbaz,“AnIntuitionisticFuzzyMulti-Classapproach for Risk Assessment in Sustainable BOT Highway ConstructionProjects:AcaseStudy.”
[14] Abbas Mardani, Ahmad Jusoh, Edmundas Kazimieras Zavadskas. “Fuzzy Multiple Criteria Decision-Making Techniques and Applications – Two Decades Review From1994To2014.”