Intuitionistic Fuzzy Decision Making Towards Efficient Team Selection in Global Software Development

Forsuccessfulcompletionofanysoftwareproject,anefficientteamisneeded.Thistaskbecomes morechallengingwhentheprojectistobecompletedunderglobalsoftwaredevelopmentumbrella. Themanualselectionofteammembersbasedonsomeexpertjudgmentmayleadtoinappropriate selection.Inreality,therearehundredsofemployeesinanorganizationandasingleexpertmaybe biasedtowardsanymember.Thus,thereisaneedtoadoptmethodswhichconsidermultipleselection criteriawithmultipleexpertviewsformakingappropriateselection.Thisarticleusesanintuitionistic fuzzyapproachtohandleuncertaintyintheexpert’sdecisioninmulticriteriagroupdecisionmaking processandrankingamongthefiniteteammembers.AnintuitionisticfuzzyMuirheadMean(IFMM) isusedtoaggregatetheintuitionisticcriteria’s.Togainconfidencebetweencriteriaandexpertscore relationship,theAnnovatestisperformed.Theresultsarepromisingwithpvalueassmallas0.02 andone-tailt-testscoreequalsto0.0000002. KEywoRDS Expert Judgement, Global Software Development, Group Decision Making, Intuitionistic Fuzzy, Muirhead Mean (MM), Team Member Selection

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