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A Cognitively Inspired Knowledge-Based Decision-Making Methodology Employing Intuitionistic Fuzzy Sets
Cognitive Computation ( IF 5.4 ) Pub Date : 2019-12-16 , DOI: 10.1007/s12559-019-09702-7
Bahram Farhadinia

The differentiation procedure of intuitionistic fuzzy sets (IFSs) is very important in multiple criteria decision-making (MCDM). The aim here is to introduce a fruitful class of knowledge measures related to the information provided in terms of IFSs. We present a class of knowledge measures of IFSs that are based on the two notions: the fuzziness and the intuitionism of an IFS. An experimental problem is employed to illustrate the weight determination method based on the proposed knowledge measures.

中文翻译:

基于直觉模糊集的认知启发式知识决策方法

直觉模糊集(IFS)的区分过程在多准则决策(MCDM)中非常重要。这里的目的是介绍与IFS提供的信息有关的丰富的知识衡量方法。我们提出了基于以下两个概念的IFS知识衡量方法:IFS的模糊性和直觉性。一个实验问题被用来说明基于所提出的知识测度的权重确定方法。
更新日期:2019-12-16
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