Intuitionistic Fuzzy Possibility Degree Measure for Ordering of IVIFNs with Its Application to MCDM

A. Biswas, Samir Kumar
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引用次数: 1

Abstract

In this article, the concept of an intuitionistic fuzzy possibility degree (IFPD) for ordering several interval-valued intuitionistic fuzzy numbers (IVIFNs) is introduced. The IFPD ranks IVIFNs by distinguishing the comparable and non-comparable components of the joint intervals of membership and non-membership degrees. The incomparable cases of nested joint intervals can also rank respective IVIFNs through the proposed IFPD approach. An intuitionistic fuzzy possibility preference relation based on the proposed IFPD measure for IVIFNs is defined as a more effective tool for modelling uncertainty than existing intuitionistic preference relations. Further, an approach for solving multicriteria interval-valued intuitionistic fuzzy decision-making problems based on IFPD measure of IVIFNs is advanced also provides a possibility degree as supplementary information to the ranking of alternatives. The validity and effectiveness of the advanced approach are demonstrated through two illustrative examples.
IVIFNs排序的直觉模糊可能性度测度及其在MCDM中的应用
本文引入了区间值直觉模糊数排序的直觉模糊可能性度的概念。IFPD通过区分成员学位和非成员学位联合区间的可比和非可比组成部分来对IVIFNs进行排名。嵌套联合区间的不可比较情况也可以通过所提出的IFPD方法对各自的IVIFNs进行排序。基于IFPD测度的直觉模糊可能性偏好关系是一种比现有直觉偏好关系更有效的不确定性建模工具。进一步,提出了一种基于IVIFNs IFPD度量的多准则区间值直觉模糊决策方法,并提供了一个可能性度作为备选方案排序的补充信息。通过两个实例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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