多准则群体决策的直觉模糊流排序方法

Fedia Daami Remadi, H. Frikha
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引用次数: 6

摘要

现实生活中的问题本质上是多维的,在决策时可能涉及一些模糊。因此,在多准则分析中,很难精确地设计评价标准并确定属性的准确值。在大量的研究中,直觉模糊集(IFS)在处理这类模糊性方面取得了很大的成功。排序问题的研究是多准则决策辅助(MCDA)领域的一个活跃研究课题。本文研究了其中一种排序方法FLOWSORT,并将其扩展到基于个体排序结果输出聚合的多准则群体决策。每个备选方案的评级通过可以用三角直觉模糊数表示的语言术语来描述。通过实例分析,并与其他多准则决策方法进行了实证比较,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Intuitionistic Fuzzy FlowSort Method for Multicriteria Group Decision Making
The real life problems are multidimensional in nature and may involve some ambiguity when it comes to decision making. It is, therefore, difficult to design the evaluation criteria precisely and determine the exact value of the attributes in the multicriteria analysis. The intuitionistic fuzzy set (IFS) achieved great success in treating this kind of ambiguity in a great deal of research. The study of sorting problems is an active research issue in the multiple criteria decision aid (MCDA) area. This paper investigated one of the sorting methods, FLOWSORT, and extended it to the multicriteria group decision making based on the output aggregation of the individual sorting results. The rating of each alternative was described through linguistic terms that can be expressed in triangular intuitionistic fuzzy numbers. An illustrative example as well as an empirical comparison with other multi-criteria decision making methods were carried out to validate our extension.
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