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An Extended VIKOR Method for Decision Making Problem with Interval-Valued Linguistic Intuitionistic Fuzzy Numbers Based on Entropy

机译:基于熵的区间值语言直觉模糊数决策问题的扩展VIKOR方法

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摘要

In this paper, with respect to how to express the complex fuzzy information, we proposed the concept of interval-valued linguistic intuitionistic fuzzy numbers (IVLIFNs), whose membership and non-membership are represented by interval-valued linguistic terms, then the Hamming distance is defined, further, we also proposed the interval-valued linguistic intuitionistic fuzzy entropy. Considering that the VIKOR method can achieve the maximum “group utility” and minimum of “individual regret”, we extended the VIKOR method to process the interval-valued linguistic intuitionistic fuzzy information (IVLIFI), and proposed an extended VIKOR method for the multiple attribute decision making (MADM) problems with IVLIFI. And an illustrative example shows the effectiveness of the proposed approach.
机译:在本文中,关于如何表达复杂的模糊信息,我们提出了区间值的语言直觉模糊数(IVLIFN)的概念,其隶属度和非隶属度由区间值的语言术语表示,然后是汉明距离在定义之后,我们还提出了区间值的语言直觉模糊熵。考虑到VIKOR方法可以实现最大的“群体效用”和最小的“个人遗憾”,我们扩展了VIKOR方法以处理区间值的语言直觉模糊信息(IVLIFI),并针对多属性提出了扩展的VIKOR方法IVLIFI的决策(MADM)问题。并举例说明了该方法的有效性。

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