基于区间直觉模糊值和粒子群优化技术的多属性决策方法

2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2017-02-01 DOI:10.1109/ICACI.2017.7974483

Shyi-Ming Chen, Zhi-Cheng Huang

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引用次数: 3

摘要

提出了一种新的多属性决策方法。它采用区间值直觉模糊值(IVIFVs)和粒子群优化(PSO)技术，其中决策者提供的备选方案的评价属性值和属性的权重由IVIFVs表示。采用粒子群算法求解属性的最优权重。所提出的MADM方法对于处理MADM问题是非常有用的。

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A novel multiattribute decision making method based on interval-valued intuitionistic fuzzy values and particle swarm optimization techniques

A novel multiattribute decision making (MADM) method is proposed in this paper. It uses interval-valued intuitionistic fuzzy values (IVIFVs) and particle swarm optimization (PSO) techniques where the evaluating attribute values of alternatives provided by the decision maker and the weights of attributes are represented by IVIFVs. The PSO techniques are used for obtaining optimal weights of attributes. The proposed MADM method is very useful for dealing with MADM problems.

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2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)

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