计算机科学 ›› 2016, Vol. 43 ›› Issue (12): 88-90.doi: 10.11896/j.issn.1002-137X.2016.12.015

• 智能信息处理 • 上一篇    下一篇

基于属性权重的时序模糊软集的群决策方法研究

张其文,谢艳钊   

  1. 兰州理工大学计算机与通信学院 兰州730050,兰州理工大学计算机与通信学院 兰州730050
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受甘肃省自然科学基金(2011GS04147),国家自然科学基金(61263047)资助

Group Decision-making Method Research Based on Time-series Fuzzy Soft Sets of Attribute Weights

ZHANG Qi-wen and XIE Yan-zhao   

  • Online:2018-12-01 Published:2018-12-01

摘要: 针对模糊软集在群决策过程中其属性权重往往被忽略或依靠主观经验来确定的问题,提出了一种基于属性优势度的属性权重确定方法,并讨论了其相关性质及运算。在群决策过程中,针对决策信息是随时间变化而变化的这一特点,定义了时序模糊软集等概念,并建立了基于决策时间差的对数增长型时间权重确定公式。最后通过与其他决策方法进行对比分析验证了该方法的可行性和合理性。

关键词: 模糊软集,属性权重,时序模糊软集,优势度,时间权重

Abstract: Aiming at the problems that fuzzy soft sets’ attribute weights are often ignored or subjective experience is relied on to determine in the process of group decision-making,we proposed a method for determining attribute weights based on the attribute dominance degree and discussed its related properties and operations.In group decision-making process,according to this characteristic of the decision-making information varying with time,the concept of time-series fuzzy soft sets was defined and the logarithmic growth model time weights formula based on the decision-making time difference was established.Finally,we used comparative analysis with other decision-making methods to verify the feasibility and rationality of the approach.

Key words: Fuzzy soft sets,Attribute weights,Time-series fuzzy soft sets,Dominance degree,Time weights

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