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Non-dominance and attitudinal prioritisation methods for intuitionistic and interval-valued intuitionistic fuzzy preference relations

机译:直觉和区间值直觉模糊偏好关系的非主导和态度优先排序方法

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摘要

A novel intuitionistic fuzzy set (IFS) score function and an intuitionistic fuzzy preference relation (IFPR) quantifier guided non-dominance based prioritisation method are introduced. Based on Yager's continuous OWA (COWA) operator, the interval-valued intuitionistic fuzzy COWA (IVIF-COWA) operator is defined, and a new attitudinal expected score function for interval-valued intuitionistic fuzzy numbers (IVIFNs) is introduced. The novelty of this attitudinal expected score function is that it allows the comparison of IVIFNs by taking into account of the decision makers' attitudinal character. Moreover, we show that the new attitudinal expected score function extends: (ⅰ) the IFS score function introduced in this paper, which is mathematically equivalent to Chen and Tan's score function (Chen and Tan, 1994); and (ⅱ) Xu and Chen's score function for IVIFNs (Xu and Chen, 2007). Using the proposed score functions, a method is developed to construct FPRs from a given IFPR and IVIFPR, respectively. When the hesitancy degree function is null, we prove that the score FPRs coincide with their respective IFPR and IVIFPR. Finally, a ranking sensitivity analysis of the attitudinal expected score function with respect to the attitudinal parameter is provided.
机译:介绍了一种新颖的直觉模糊集(IFS)评分函数和直觉模糊偏好关系(IFPR)量词指导的基于非优势的优先排序方法。基于Yager的连续OWA(COWA)算子,定义了区间直觉模糊COWA(IVIF-COWA)算子,并引入了区间直觉模糊数(IVIFN)的新的态度期望得分函数。这种态度预期得分函数的新颖之处在于,它可以通过考虑决策者的态度特征来比较IVIFN。此外,我们证明了新的态度预期得分函数得到扩展:(ⅰ)本文介绍的IFS得​​分函数,在数学上等效于Chen和Tan的得分函数(Chen和Tan,1994); (ⅱ)Xu和Chen对IVIFNs的评分功能(Xu和Chen,2007)。使用建议的得分函数,开发了一种方法,分别从给定的IFPR和IVIFPR构造FPR。当犹豫度函数为零时,我们证明分数FPR与它们各自的IFPR和IVIFPR一致。最后,提供了关于态度期望得分函数相对于态度参数的排名敏感性分析。

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