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基于区间信息熵的TOPSIS法在物流选址研究中的应用.docx

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基于区间信息熵的TOPSIS法在物流选址研究中的应用 Abstract: Logisticssiteselectionisofgreatsignificancetothedevelopmentoflogisticsindustry.Inordertosolvetheproblemofsiteselectioninlogistics,TOPSISmethodbasedonintervalinformationentropyisproposed.Byintroducingintervalinformationentropy,themethodcanbetterdealwithincompleteoruncertaininformation.Thepaperusesacasestudytoverifytheeffectivenessofthemethod,andtheresultsshowthatitcanprovideusefulreferenceforlogisticssiteselection. Introduction: Withthedevelopmentofeconomyandsociety,logisticsindustryhasbecomeanimportantpillarindustryintheworld.Logisticssiteselectionisanimportantpartoflogisticsindustry,whichplaysanimportantroleinpromotingthedevelopmentoflogisticsindustry.Thesiteselectionoflogisticsisacomplexandcomprehensiveprocess,whichinvolvesmanyfactorsandhasahighdegreeofuncertainty.Therefore,itisnecessarytoadoptaneffectivemethodtosolvetheproblemoflogisticssiteselection. TOPSISisawidelyusedmulti-criteriadecision-makingmethod,whichisbasedontheprincipleofmaximizingthedistancebetweentheidealsolutionandthenegativeidealsolution.However,TOPSISmethodhasthefollowingshortcomings:whendealingwithincompleteoruncertaininformation,itisdifficulttoreflectthedegreeofuncertaintyofthedata.Inordertosolvethisproblem,intervalinformationentropy(IIE)isintroducedintoTOPSISmethod. Methodology: Firstly,thefactorsinfluencingthelogisticssiteselectionareselectedandtheweightofeachfactorisdetermined.Then,theintervaldataofeachfactorisprocessedbyintervalinformationentropy.Theentropyofeachfactorisobtainedbycalculatingtheprobabilitydistributionoftheintervaldata.Andtheweightofeachfactorcanbedeterminedbytheentropyweightmethod.Finally,theTOPSISmethodisusedtocalculatethecomprehensivescoreofeachlogisticssite. CaseStudy: InordertoverifytheeffectivenessoftheproposedTOPSISmethodbasedonintervalinformationentropy,acasestudyiscarriedout.Thecasestudyinvolvesthesiteselectionofalogisticscenterinacertaincity.Thefactorsinfluencingthelogisticssiteselectionare:transportationcost,laborcost,landprice,