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Expected Value Method for Fuzzy Multiple Attribute Decision Making 被引量：3

Expected Value Method for Fuzzy Multiple Attribute Decision Making
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摘要 This paper presents a fuzzy multiple attribute decision-making （FMADM） method in which the attribute weights and decision matrix elements （attribute values） are fuzzy variables. Fuzzy arithmetic and the expected value operator of fuzzy variables are used to develop the expected value method to solve the FMADM problem. A numerical example is given to demonstrate the feasibility and effectiveness of the method. This paper presents a fuzzy multiple attribute decision-making （FMADM） method in which the attribute weights and decision matrix elements （attribute values） are fuzzy variables. Fuzzy arithmetic and the expected value operator of fuzzy variables are used to develop the expected value method to solve the FMADM problem. A numerical example is given to demonstrate the feasibility and effectiveness of the method.
作者 曾玲
机构地区 Department of Computational Sciences and Mathematics
出处 《Tsinghua Science and Technology》 SCIE EI CAS 2006年第1期102-106,共5页 清华大学学报（自然科学版（英文版）
基金 Supported by the National Natural Science Foundation of China (N10501009)
关键词 fuzzy multiple attribute decision making alternative raking fuzzy variable expected value operator fuzzy multiple attribute decision making alternative raking fuzzy variable expected value operator
分类号 F224 [经济管理—国民经济]
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参考文献10

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同被引文献17

  • 1于春云,赵希男,彭艳东,潘德惠.模糊随机需求模式下的扩展报童模型与求解算法[J].系统工程,2006,24(9):103-107. 被引量：21
  • 2Calvo T, Mayor G, Mesiar R. Aggregation operators: new t rends and applications [M]. Heidelberg, Germany: Physica- Verlag , 2002.
  • 3Torra V. Information fusion in data mining[M]. New York Physica-Verlag , 2003.
  • 4Yager R R. O n ordered weighted averaging aggregation operators in multicriteria decision making[J]. IEEE Trans. on Systems, Man, and Cybernetics, 1988, 18 (1) : 183 - 190.
  • 5Yager R R, Kacprzyk J. The ordered weighted averaging operators:theory and applications[M].Norwell MA :Kluwer, 1997.
  • 6Xu Zeshui, DA Q L. An overview of operators for aggregating information[J].International Journal of Intelligent Systems, 2003, 18 (9): 953-969.
  • 7Yager R R. OWA aggregation over a continuous interval argument with applications to decision making[J].IEEE Trans. on Systems, Man, and Cybernetics-Part B, 2004, 34(5): 1952 - 1963.
  • 8Yao J S, Chiang J. Inventory without backorder with fuzzy total cost and fuzzy storing cost defuzzified by centroid and signed distance [J]. European J of Operational Research, 2003, 148(2):401-409.
  • 9Dutta P, Chakraborty A R. A single-period inventory model with fuzzy random variable demand [J]. Mathematical and Computer Modeling, 2005, 41(8/9): 915-922.
  • 10Dutta P, Chakraborty A R. Continuous review inventory model in mixed fuzzy and stochastic environment [ J ]. Applied Mathematics and Computation, 2007, 188(1) : 970-980.

引证文献3

二级引证文献12

Tsinghua Science and Technology
2006年 第1期

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