A new method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets, PSO techniques and evidential reasoning methodology

Shyi-Ming Chen, Chu-Han Chiou
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引用次数: 11

Abstract

In this paper, we propose a new multiattribute decision making method based on interval-valued intuitionistic fuzzy sets, particle swarm optimization (PSO) techniques and the evidential reasoning methodology. The proposed methods can overcome the drawbacks of the existing method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets. It provides us with a useful way for multiattribute decision making based on interval-valued intuitionistic fuzzy sets.
基于区间值直觉模糊集、粒子群算法和证据推理方法的多属性决策新方法
本文提出了一种基于区间值直觉模糊集、粒子群优化技术和证据推理方法的多属性决策方法。该方法克服了现有基于区间值直觉模糊集的多属性决策方法的不足。它为基于区间值直觉模糊集的多属性决策提供了一种有用的方法。
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