计算机应用 ›› 2013, Vol. 33 ›› Issue (04): 967-970.DOI: 10.3724/SP.J.1087.2013.00967

• 人工智能 • 上一篇    下一篇

基于区间直觉模糊集的模糊多目标群决策

王会英1,张朝昆2,3,董东2   

  1. 1. 河北农业大学 理学院,河北 保定 071001
    2. 河北师范大学 数学与信息科学学院,石家庄 050024
    3. 清华大学 计算机科学与技术系,北京 100084
  • 收稿日期:2012-09-12 修回日期:2012-10-06 出版日期:2013-04-01 发布日期:2013-04-23
  • 通讯作者: 王会英
  • 作者简介:王会英(1978-),女,河北石家庄人,讲师,硕士,主要研究方向:运筹学、模糊数学;张朝昆(1981-),男,河北石家庄人,讲师,博士研究生,主要研究方向:信息融合、决策支持系统;董东(1973-),男,河北石家庄人,副教授,主要研究方向:Web智能系统。
  • 基金资助:

    河北省科学技术研究与发展计划项目(12226508);河北师范大学科研基金资助项目(L2010Q03)

Fuzzy multi-objective group decision making based on interval-valued intuitionistic fuzzy set

WANG Huiying1,ZHANG Chaokun2,3,DONG Dong2   

  1. 1. College of Science, Agriculture University of Hebei, Baoding Hebei 071001, China
    2. College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang Hebei 050024, China
    3. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
  • Received:2012-09-12 Revised:2012-10-06 Online:2013-04-01 Published:2013-04-23
  • Contact: WANG Huiying

摘要: 为提高数据决策的准确性,结合区间直觉模糊集理论,对模糊多目标群决策算法进行优化。并针对部分权重信息并不一定完整的情况,利用迭代计算的方式向最优决策逐步逼近。实例显示,该算法具有时间复杂度低、便于计算机实现等特点,并说明了算法的有效性和准确性。

关键词: 区间直觉模糊集, 模糊群多目标决策, 迭代, 优属度, 权重

Abstract: In order to improve the accuracy of data decision making, an optimization approach was proposed for the algorithm of multi-objectives group decision making. By the interval-valued intuitionistic fuzzy set theory, the optimization was approached by the method of iterative computation gradually in the situation that the part weight information was incomplete usually. Results of the simulation indicate that the algorithm has low time complexity, and can be implemented in the computer easily; moreover, it also shows the effectiveness and accuracy of the algorithm.

Key words: interval-valued intuitionistic fuzzy set, multi-objective fuzzy-group decision making, iteration, optimal membership degree, weight

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