基于区间值直觉不确定语言信息的绿色供应商选择方法——以农业食品行业为例
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摘要
基于区间值直觉不确定语言集(IVIULSs)和GRA-TOPSIS方法提出一种改进型的绿色供应商选择模型。首先,基于IVIULSs对决策者评估供应商时遇到的不确定信息进行处理;其次,利用GRA-TOPSIS方法对备选方案进行优先排序,并选出最佳供应商,该模型可更精准地处理决策者主观评价的不确定性和模糊性,使绿色供应商排名更真实准确;最后,将该模型运用到农业食品行业中,成功验证提出的绿色供应商选择模型的可行性、有效性。
This study proposes an improved green supplier selection model based on interval-valued intuitionistic uncertain language sets(IVIULSs) and GRA-TOPSIS methods. Based on IVIULSs, the uncertain information encountered by decision makers in evaluating suppliers is processed.ThenGRA-TOPSIS method is used to prioritize alternatives and select the best suppliers. The model can more accurately deal with the uncertainty and ambiguity ofmakers' subjective evaluation, making the ranking of green suppliers more realistic and accurate. Finally, the paper applies the model to the agri-food industry and successfully verifies the feasibility and effectiveness of the proposed green supplier selection model.
This study proposes an improved green supplier selection model based on interval-valued intuitionistic uncertain language sets(IVIULSs) and GRA-TOPSIS methods. Based on IVIULSs, the uncertain information encountered by decision makers in evaluating suppliers is processed.ThenGRA-TOPSIS method is used to prioritize alternatives and select the best suppliers. The model can more accurately deal with the uncertainty and ambiguity ofmakers' subjective evaluation, making the ranking of green suppliers more realistic and accurate. Finally, the paper applies the model to the agri-food industry and successfully verifies the feasibility and effectiveness of the proposed green supplier selection model.
引文
[1]王丽杰,郑艳丽.绿色供应链管理中对供应商激励机制的构建研究[J].管理世界,2014(8):184-185.
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[7]QINJ D,LIUX W,PEDRYCZ W.An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment[J].European Journal of Operational Research,2017,258(2):626–638.
[8]HAMDAN S,CHEAITOU A.Supplier selection and order allocation with green criteria:an MCDM andmulti-objective optimization approach[J].Computers and Operations Research,2017,81:282–304.
[9]WANG K Q,LIU H C,LIU L P,et al.Green supplier evaluation and selection using cloud model theory and the QUALIFLEX method[J].Sustainability,2017,9:688.
[10]ZHAO J S,YOU X Y,LIU H C,et al.An extended VIKOR method using intuitionistic fuzzy sets and combination weights for supplier selection[J].Symmetry,2017,9:169.
[11]CENTOBELLI P,CERCHIONE R,ESPOSITO E.Developing the WH2 framework for environmental sustainability in logistics service providers:a taxonomy of green initiatives[J].Journal of Cleaner Production,2017,165:1063–1077.
[12]YAZDANI M,CHATTERJEE P,ZAVADSKAS E K,et al.Integrated QFD-MCDM framework for green supplier selection[J].Journal of Cleaner Production,2017,142:3728–3740.
[13]UYGUN ?,DEDE A.Performance evaluation of green supply chain management using integrated fuzzymulti-criteria decision making techniques[J].Computers and Industrial Engineering,2016,102:502–511.
[14]GHORABAEE M K,ZAVADSKAS E K,AMIRI M,et al.Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets[J].Journal of Cleaner Production,2016,137:213–229.
[15]RODRíGUEZ R M,LABELLA á,MARTíNEZ L.An overview on fuzzy modelling of complex linguistic preferencesin decision making [J].International Journal of Computational Intelligence Systems,2016,9 (1):81–94.
[16]RODRíGUEZ R M,MARTíNEZ L.An analysis of symbolic linguistic computing models in decision making[J].International Journal of Computational Intelligence Systems,2013,42(1):121–136.
[17]LIU P.Some geometric aggregation operators based on interval intuitionistic uncertain linguistic variables and their application to group decision making[J].Applied Mathematical Modelling,2013,37(4):2430–2444.
[18]XU Z S.Induced uncertain linguistic OWA operators applied to group decision making[J].Information Fusion,2006,7(2):231–238.
[19]XU Z S.Uncertain linguistic aggregation operators based approach to multiple attribute group decisionmaking under uncertain linguistic environment[J].Information Sciences,2004,168(1/4):171–184.
[20]Li D F.TOPSIS-based nonlinear-programming methodology for multi-attribute decision making with interval-valued intuitionistic fuzzy sets[J].IEEE Transactions on Fuzzy Systems,2010,18(2):299–311.
[21]廖虎昌,缑迅杰,徐泽水.基于犹豫模糊语言集的决策理论与方法综述[J].系统工程理论与实践,2017,37(1):35-48.
[22]WAN J.Model for evaluating the design patterns of the Micro-Air vehicle under interval-valued intuitionistic uncertain linguistic environment[J].Journal of Intelligent and Fuzzy Systems,2016,30:2963–2969.
[23]LIU T,WANG C,LI X.Model for evaluating the management performance of the sport grounds withinterval-valued intuitionistic uncertain linguistic information[J].Journal of Intelligent and Fuzzy Systems,2016,31:1535–1544.
[24]KAN S,GUO F,LI S.An approach to evaluating the knowledge management performance withinterval-valued intuitionistic uncertain linguistic information[J].Journal of Intelligent and Fuzzy Systems,2016,30:1557–1565.
[25]MENG F,CHEN X,ZHANG Q.Some interval-valued intuitionistic uncertain linguistic Choquet operators and their application to multi-attribute group decision making[J].Applied Mathematical Modelling,2014,38:2543–2557.
[26]MENG F,CHEN X.Correlation coefficient of interval-valued intuitionistic uncertain linguistic sets and itsapplication[J].Cybernetics Systems,2017,48:114–135.
[27]MENG F Y,CHEN X H,ZHANG Q.An approach to interval-valued intuitionistic uncertain linguisticmulti-attribute group decision making [J].International Journal of Machine Learning and Cybernetics,2015,6:859–871.
[28]BüYüK?ZKAN G,G??ER F.Application of a new combined intuitionistic fuzzy MCDM approach based onaxiomatic design methodology for the supplier selection problem[J].Applied Soft Computing,2017,52:1222–1238.
[29]LIMA-JUNIOR F R,CARPINETTI L C R.A multi-criteria approach based on fuzzy QFD for choosing criteria forsupplier selection[J].Computers and Industrial Engineering,2016,101:269–285.
[30]DENG J L.Introduction to gray system theory[J].Grey Systems,1989,1:1–24.
[31]LIU H C,WANG L E,YOU X Y,et al.Failure mode and effect analysis with extended grey relationalanalysis method in cloud setting[J].Total Quality Management and Business Excellence,2017:1-23.
[32]TSENG M L,LIM M,WU K J,et al.A novel approach for enhancing green supplychain management using converged interval-valued triangular fuzzy numbers-grey relation analysis[J].Resources Conservation and Recycling,2018,128:122–133.
[33]BANAEIAN N,MOBLI H,FAHIMNIA B,et al.Green supplier selection using fuzzy groupdecision making methods:a case study from the agri-food industry[J].Computers & Operations Research,2018,89:337–347.
[34]HWANG C L,YOON K.Multiple attributes decision making methods and applications[M].Berlin :Springer,1981.
[35]LU C,YOU J X,LIU H C,et al.Health-care waste treatment technology selection using the interval 2-tupleinduced TOPSIS method[J].International Journal of Environmental Research and Public Health,2016,13(6):562.
[36]AMERI A A,POURGHASEMI H R,CERDA A.Erodibility prioritization of sub-watersheds using morphometricparameters analysis and its mapping:a comparison among TOPSIS,VIKOR,SAW,and CF multi-criteriadecision making models[J].Science of The Total Environment,2017,613/614:1385–1400.
[37]WANG C Y,CHEN S M.Multiple attribute decision making based on interval-valued intuitionistic fuzzysets,linear programming methodology,and the extended TOPSIS method[J].Ninth International Conference on Advanced,2017,397/398:155–167.
[38]WU W,PENG Y.Extension of grey relational analysis for facilitating group consensus to oil spill emergency management[J].Annals of Operations Research,2016,238:615–635.
[2]POURHEJAZY P,KWONO K.The new generation of operations research methods in supply chain optimization:a review[J].Sustainability,2016,8:1033.
[3]李维安,李勇建,石丹.供应链治理理论研究:概念、内涵与规范性分析框架[J].南开管理评论,2016,19(1):4-15,42.
[4]FALLAHPOUR A,OLUGUE U,MUSAS N,et al.A decision support modelfor sustainable supplier selection in sustainable supply chain management[J].Computers and Industrial Engineering,2017,105:391-410.
[5]伊晟,薛求知.绿色供应链管理与绿色创新:基于中国制造业企业的实证研究[J].科研管理,2016,37(6):103-110.
[6]CENTOBELLI P,CERCHIONE R,ESPOSITO E.Environmental sustainability and energy-efficient supply chain management:a review of research trends and proposed guidelines[J].Energies,2018,11(2):1-36.
[7]QINJ D,LIUX W,PEDRYCZ W.An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment[J].European Journal of Operational Research,2017,258(2):626–638.
[8]HAMDAN S,CHEAITOU A.Supplier selection and order allocation with green criteria:an MCDM andmulti-objective optimization approach[J].Computers and Operations Research,2017,81:282–304.
[9]WANG K Q,LIU H C,LIU L P,et al.Green supplier evaluation and selection using cloud model theory and the QUALIFLEX method[J].Sustainability,2017,9:688.
[10]ZHAO J S,YOU X Y,LIU H C,et al.An extended VIKOR method using intuitionistic fuzzy sets and combination weights for supplier selection[J].Symmetry,2017,9:169.
[11]CENTOBELLI P,CERCHIONE R,ESPOSITO E.Developing the WH2 framework for environmental sustainability in logistics service providers:a taxonomy of green initiatives[J].Journal of Cleaner Production,2017,165:1063–1077.
[12]YAZDANI M,CHATTERJEE P,ZAVADSKAS E K,et al.Integrated QFD-MCDM framework for green supplier selection[J].Journal of Cleaner Production,2017,142:3728–3740.
[13]UYGUN ?,DEDE A.Performance evaluation of green supply chain management using integrated fuzzymulti-criteria decision making techniques[J].Computers and Industrial Engineering,2016,102:502–511.
[14]GHORABAEE M K,ZAVADSKAS E K,AMIRI M,et al.Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets[J].Journal of Cleaner Production,2016,137:213–229.
[15]RODRíGUEZ R M,LABELLA á,MARTíNEZ L.An overview on fuzzy modelling of complex linguistic preferencesin decision making [J].International Journal of Computational Intelligence Systems,2016,9 (1):81–94.
[16]RODRíGUEZ R M,MARTíNEZ L.An analysis of symbolic linguistic computing models in decision making[J].International Journal of Computational Intelligence Systems,2013,42(1):121–136.
[17]LIU P.Some geometric aggregation operators based on interval intuitionistic uncertain linguistic variables and their application to group decision making[J].Applied Mathematical Modelling,2013,37(4):2430–2444.
[18]XU Z S.Induced uncertain linguistic OWA operators applied to group decision making[J].Information Fusion,2006,7(2):231–238.
[19]XU Z S.Uncertain linguistic aggregation operators based approach to multiple attribute group decisionmaking under uncertain linguistic environment[J].Information Sciences,2004,168(1/4):171–184.
[20]Li D F.TOPSIS-based nonlinear-programming methodology for multi-attribute decision making with interval-valued intuitionistic fuzzy sets[J].IEEE Transactions on Fuzzy Systems,2010,18(2):299–311.
[21]廖虎昌,缑迅杰,徐泽水.基于犹豫模糊语言集的决策理论与方法综述[J].系统工程理论与实践,2017,37(1):35-48.
[22]WAN J.Model for evaluating the design patterns of the Micro-Air vehicle under interval-valued intuitionistic uncertain linguistic environment[J].Journal of Intelligent and Fuzzy Systems,2016,30:2963–2969.
[23]LIU T,WANG C,LI X.Model for evaluating the management performance of the sport grounds withinterval-valued intuitionistic uncertain linguistic information[J].Journal of Intelligent and Fuzzy Systems,2016,31:1535–1544.
[24]KAN S,GUO F,LI S.An approach to evaluating the knowledge management performance withinterval-valued intuitionistic uncertain linguistic information[J].Journal of Intelligent and Fuzzy Systems,2016,30:1557–1565.
[25]MENG F,CHEN X,ZHANG Q.Some interval-valued intuitionistic uncertain linguistic Choquet operators and their application to multi-attribute group decision making[J].Applied Mathematical Modelling,2014,38:2543–2557.
[26]MENG F,CHEN X.Correlation coefficient of interval-valued intuitionistic uncertain linguistic sets and itsapplication[J].Cybernetics Systems,2017,48:114–135.
[27]MENG F Y,CHEN X H,ZHANG Q.An approach to interval-valued intuitionistic uncertain linguisticmulti-attribute group decision making [J].International Journal of Machine Learning and Cybernetics,2015,6:859–871.
[28]BüYüK?ZKAN G,G??ER F.Application of a new combined intuitionistic fuzzy MCDM approach based onaxiomatic design methodology for the supplier selection problem[J].Applied Soft Computing,2017,52:1222–1238.
[29]LIMA-JUNIOR F R,CARPINETTI L C R.A multi-criteria approach based on fuzzy QFD for choosing criteria forsupplier selection[J].Computers and Industrial Engineering,2016,101:269–285.
[30]DENG J L.Introduction to gray system theory[J].Grey Systems,1989,1:1–24.
[31]LIU H C,WANG L E,YOU X Y,et al.Failure mode and effect analysis with extended grey relationalanalysis method in cloud setting[J].Total Quality Management and Business Excellence,2017:1-23.
[32]TSENG M L,LIM M,WU K J,et al.A novel approach for enhancing green supplychain management using converged interval-valued triangular fuzzy numbers-grey relation analysis[J].Resources Conservation and Recycling,2018,128:122–133.
[33]BANAEIAN N,MOBLI H,FAHIMNIA B,et al.Green supplier selection using fuzzy groupdecision making methods:a case study from the agri-food industry[J].Computers & Operations Research,2018,89:337–347.
[34]HWANG C L,YOON K.Multiple attributes decision making methods and applications[M].Berlin :Springer,1981.
[35]LU C,YOU J X,LIU H C,et al.Health-care waste treatment technology selection using the interval 2-tupleinduced TOPSIS method[J].International Journal of Environmental Research and Public Health,2016,13(6):562.
[36]AMERI A A,POURGHASEMI H R,CERDA A.Erodibility prioritization of sub-watersheds using morphometricparameters analysis and its mapping:a comparison among TOPSIS,VIKOR,SAW,and CF multi-criteriadecision making models[J].Science of The Total Environment,2017,613/614:1385–1400.
[37]WANG C Y,CHEN S M.Multiple attribute decision making based on interval-valued intuitionistic fuzzysets,linear programming methodology,and the extended TOPSIS method[J].Ninth International Conference on Advanced,2017,397/398:155–167.
[38]WU W,PENG Y.Extension of grey relational analysis for facilitating group consensus to oil spill emergency management[J].Annals of Operations Research,2016,238:615–635.