权重信息不完全的区间数多属性决策GRA方法.docx 立即下载
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权重信息不完全的区间数多属性决策GRA方法.docx

权重信息不完全的区间数多属性决策GRA方法.docx

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权重信息不完全的区间数多属性决策GRA方法
Introduction:
Multipleattributedecision-making(MADM)istheprocessofselectingafeasiblealternativefromasetofalternativeswithmultiplecriteria.ThewidelyusedMADMmethods,suchasTOPSIS,AHPandPROMETHEE,assumethatthecriteriaweightsarefullyknownandaccurate.However,inreal-worlddecision-makingproblems,thecriteriaweightsaresometimesambiguousoruncertain.Forexample,inasupplierselectionproblem,thedecision-makermaynotknowtheimportanceofeachcriterion,ortheimportancemayvarydependingonthespecificcontextofthedecision.Insuchcases,theGeneralizedRoughApproximation(GRA)methodisusedtoanalyzethedecisionproblemandprovideasolution.
GRASmethod:
TheGRAmethodisanextensionoftheRoughApproximation(RA)approach.TheRAapproachisusedfortheevaluationofthelowerandupperapproximationvaluesofagivendecision-makingproblembasedontheconsistencyandinconsistencymeasuresofinformation.InGRA,theideaistoconstructamultiple-attributeutilityfunctionwhoseparametersaredefinedbasedontheuncertaintymeasuresofinformation.GRAisparticularlyusefulindecision-makingproblemswherethecriteriaweightsareambiguousornotfullyknown.
ApplicationofGRAmethod:
TheGRAmethodhasbeensuccessfullyappliedinvariousfieldssuchassupplierselection,projectevaluation,andenvironmentalimpactassessment.Forexample,inthesupplierselectionproblem,thedecision-makermaywanttoconsidertheprice,deliverytime,andqualityoftheproduct.However,itisdifficulttoassignaccuratevaluestotheweightsofthesecriteriaastheymaynotbeknownwithcertainty.ThroughGRA,thedecision-makercanevaluatethealternativesbasedontheroughsettheoryandidentifythemostdesirablesupplier.
Intheprojectevaluationproblem,GRAmethodcanbeusedtoevaluateprojectswithuncertainweights.Forinstance,inaconstructionproject,thedecision-makermaynotknowthepreciseweightofeachcriterionsuchasprojectduration,cost,andquality.GRAcanbeusedtodeterminetheweightsofthesecriteriabyevaluatingdifferentscenariosandidentifyingthemostdesiredproject.
EnvironmentalimpactassessmentisanotherareawhereGRAcanbeused.Forexample,whenevaluatin
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