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具有直觉模糊信息的任务指派问题研究 Title:AnInvestigationintoTaskAssignmentProblemswithFuzzyIntuitionisticInformation Abstract: Taskassignmentisacriticaldecision-makingprocessinvariousdomains,wheretasksneedtobeallocatedtoappropriateresourcesefficientlyandeffectively.However,traditionaltaskassignmentmodelsoftenassumepreciseandcompleteinformation,whichmaynotreflectthereal-worldscenariosperfectly.Inthisstudy,wefocusontaskassignmentproblemsthatinvolvefuzzyintuitionisticinformation.Theobjectiveistoexplorehowfuzzyintuitionisticinformationcanbeincorporatedintotaskassignmentmodelsanddecision-makingstrategiestoenhancetheaccuracyandflexibilityoftheassignmentprocess. Introduction: Taskassignmentplaysacrucialroleinoptimizingresourceallocationandensuringoverallproductivity.Inmanyreal-lifesituations,theavailableinformationregardingtasksandresourcesisoftenimprecise,uncertain,andsubjective.Traditionaltaskassignmentmodelsfailtocapturethisvaguenessanduncertainty,leadingtosuboptimaland/orinefficientassignmentoutcomes.Thus,theincorporationoffuzzyintuitionisticinformationisanemergingresearchareainthefieldoftaskassignment. Fuzzyintuitionisticinformationreferstoinformationthatisbothfuzzyandintuitionisticinnature.Fuzzinesscapturesthevaguenessandlinguisticambiguityindecision-making,whileintuitionisticpropertiesaccountfortheuncertaintyandindeterminacyassociatedwithreal-worldtasksandresources.Byconsideringbothfuzzinessandintuitionisticproperties,taskassignmentmodelscanbetterrepresentandhandleuncertainandsubjectiveinformation,leadingtomorerobustandmeaningfulassignments. LiteratureReview: Previousstudiesontaskassignmenthavemainlyfocusedondeterministicmodels,wherecrispandpreciseinformationisassumed.However,inrecentyears,researchershaverecognizedthelimitationsofsuchmodelsandstartedexploringapproachesthatcanaccommodateimpreciseanduncertaininformation.Fuzzysets,intuitionisticfuzzysets,andotherrelatedtheorieshavebeensuccessfullyappliedinvariousdecision-makingproblems,providingarichfoundationforincorporatingfuzzyintui