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基于区间直觉模糊集的多准则决策方法 被引量:14

Multi-criteria decision-making methods based on interval-valued intuitionistic fuzzy sets
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摘要 研究基于区间直觉模糊集的多准则决策方法.首先定义了区间直觉模糊点算子,并讨论了其性质;然后对区间直觉模糊集定义了一系列得分函数,并给出两种基于区间直觉模糊集的多准则决策方法.将该方法应用于区间直觉模糊集多准则决策问题,所得结果推广了有关直觉模糊集的相关结果. The multi-criteria decision-making methods based on interval-valued intuitionistic fuzzy sets are studied. First, the concepts of interval-valued intuitionistic fuzzy point operators are introduced and discussed. By using the interval-valued intuitionistie fuzzy point operators, a series of new score functions for interval-valued intuitionistitc fuzzy sets are defined. Furthermore, two methods are presented for solving multi-criteria decision-making problems based on interval-valued intuitionistic fuzzy sets, which are applied to the multi-criteria decision-making problem of interval-valued intuitionistic fuzzy sets. Finally, the related methods are generalized for sovling multi-criteria decision- making problems based on intuitionistic fuzzy sets.
出处 《控制与决策》 EI CSCD 北大核心 2009年第8期1230-1234,共5页 Control and Decision
基金 国家自然科学基金项目(10671108) 山东省自然科学基金项目(Y2005A04) 山东省运筹学与控制论十一五重点学科项目
关键词 多准则决策 区间直觉模糊集 直觉模糊点算子 得分函数 Multi-criteria decision-making, Interval-valued intuitionistic fuzzy set, Interval-valued intuitionistic fuzzy point operator Score function
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参考文献10

  • 1Atanassov K.Intuitionistic fuzzy sets[J].Fuzzy Sets and Systems,1986,20(1):87-96.
  • 2Bustince H,Burillo P.Vague sets are intuitionistic fuzzy sets[J].Fuzzy Sets and Systems,1996,79(3):403-405.
  • 3Gau W L,Buehrer D J.Vague sets[J].IEEE Trans Systems,Man and Cybernetics,1993,23(2):610-614.
  • 4Atanassov K,Gargov G.Interval-valued intuitionistic fuzzy sets[J].Fuzzy Sets and Systems,1989:31(3):343-349.
  • 5徐泽水.区间直觉模糊信息的集成方法及其在决策中的应用[J].控制与决策,2007,22(2):215-219. 被引量:214
  • 6王坚强.信息不完全确定的多准则区间直觉模糊决策方法[J].控制与决策,2006,21(11):1253-1256. 被引量:60
  • 7Liu H W,Wang G J.Multi-criteria decision-making methods based on intuitionistic fuzzy sets[J].European J of Operational Research,2007,197(1):220-233.
  • 8Burillo P,Bustince H.Construction theorems of intuitionistic fuzzy sets[J].Fuzzy Sets and Systems,1996,84(3):271-281.
  • 9Wang Y M,Yang J B,Xu D L.Interval weight generation approaches based on consistency test and interval comparison matrices[J].Applied Mathematics and Computation,2005,167(1):252-273.
  • 10Chen S M,Tan J M.Handling multi-criteria fuzzy decision-making problems based on vague set theory[J].Fuzzy Sets and Systems,1994,67(2):163-172.

二级参考文献21

  • 1Atanassov K T.Intuitionistic Fuzzy Sets[J].Fuzzy Sets and Systems,1986,20(1):87-96.
  • 2De S K,Biswas R,Roy A R.An Application of Intuitionistic Fuzzy Sets in Medical Diagnosis[J].Fuzzy Sets and Systems,2001,117(2):209-213.
  • 3Li D F,Cheng C T.New Similarity Measures of Intuitionistic Fuzzy Sets and Application to Pattern Recognitions[J].Pattern Recognition Letters,2002,23(1-3):221-225.
  • 4Przemysīaw Grzegorzewski.Distances Between Intuitionistic Fuzzy Sets and/or Interval-valued Fuzzy Sets Based on the Hausdorff Metric[J].Fuzzy Sets and Systems,2004,148(2):319-328.
  • 5Li D F.Multiattribute Decision Making Models and Methods Using Intuitionistic Fuzzy Sets[J].J of Computer and System Sciences,2005,70(1):73-85.
  • 6Atanassov K T,Gargov G.Interval Valued Intuitionistic Fuzzy Sets[J].Fuzzy Sets and Systems,1989,31(3):34-349.
  • 7Atanassov K T.Operators Over Interval Valued Intuitionistic Fuzzy Sets[J].Fuzzy Sets and Systems,1994,64(2):159-174.
  • 8Yang J B.Rule and Utility Based Evidential Reasoning Approach for Multiattribute Decision Analysis under Uncertainty[J].European J of Operational Research,2001,131(1):31-61.
  • 9Shi Y,Eberhart R C.Empirical Study of Particle Swarms Optimization[A].Proc of the Congress on Evolutionary Computation[C].Piscataway:IEEE Service Center,1999:1945-1949.
  • 10Hung W L,Wu J W.Correlation of intuitionistic fuzzy sets by centroid method[J].Information Sciences,2002,144(1-4):219-225.

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