vague linguistic matrix game approach for multi-criteria decision making with uncertain weights

vague linguistic matrix game approach for multi-criteria decision making with uncertain weights

ID:7365555

大小:113.53 KB

页数:10页

时间:2018-02-12

vague linguistic matrix game approach for multi-criteria decision making with uncertain weights_第1页
vague linguistic matrix game approach for multi-criteria decision making with uncertain weights_第2页
vague linguistic matrix game approach for multi-criteria decision making with uncertain weights_第3页
vague linguistic matrix game approach for multi-criteria decision making with uncertain weights_第4页
vague linguistic matrix game approach for multi-criteria decision making with uncertain weights_第5页
资源描述:

《vague linguistic matrix game approach for multi-criteria decision making with uncertain weights》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库

1、JournalofIntelligent&FuzzySystemsxx(20xx)xxx1DOI:10.3233/IFS-2012-0638IOSPress1Vaguelinguisticmatrixgameapproachfor2multi-criteriadecisionmakingwithuncertain3weightsWu-EYanga,ba,∗4andJian-QiangWang5aSchoolofBusiness,CentralSouthUniversity,ChangSha,China6bSchoolofScie

2、nce,CentralSouthUniversityofForestryandTechnology,ChangSha,China7Abstract.Vaguelinguisticnumbersareespeciallyadaptivetodescribetheevaluationsofalternativesinmulti-criteriadecision8making.SuchdescriptionrevealstheDMspreferenceandhesitantdegreesimultaneously.Forhandlin

3、gtheuncertaintyinsetting9theweightsofcriteria,afuzzymatrixgamerelatedwiththeinitialdecisionmatrixisestablished.Thisfuzzygamemodelisthen10transformedtoalinearprogramming.Bysolvingthisprogramming,theweightsofcriteriaareobtained.Theweightedarithmetic11averageoperatorofv

4、aguelinguisticnumbersyieldstheaggregatedrankingvaluesofalternatives.Anexampleillustratesthe12procedureoftheproposedmethod.13Keywords:Decisionanalysis,MCDM,linguisticmodeling,vaguelinguisticnumber,gaming141.Introductiongivenprior.Recently,usinglinguisticvariablesin28M

5、CDMhasattractedmuchresearchattention[2,3,15,2915MultipleCriteriaDecisionMaking(MCDM)meth-17,19,22].3016odsarewidelyusedtorankalternativeswithrespectThesestudiesinfactimplythatthemembership3117toseveralcompetingcriteria.IntheclassicalMCDMdegreeoftheevaluationtotheling

6、uistictermequals3218methods,theevaluationsofalternativesareknownpre-to1.Itcannotdescribethedecisionmaker(DM)s3319cisely[7].However,sincehumanjudgmentsincludingcertaintyorconfidenceofthejudgment.Therefore,3420preferencesareoftenvague,estimatinganalternativevaguelinguis

7、tic(VL)numberwasintroducedin[21].3521withcrispnumericalvaluesisdifficult.Amorerealis-BydevelopingtheconceptofAtanassovsintuitionistic3622ticsolutionmaybetouselinguisticassessmentsinsteadfuzzyset[1](namelyvagueset[9]),themembership3723ofnumericalvalues,namelytheevaluat

8、ionsofalterna-andnon-membershipdegreesareattachedtoanlin-3824tiveswithrespecttocriteriaareassessedwithlinguisticguisticvariable.Suc

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。