关于犹豫模糊集与决策

V. Torra, Y. Narukawa
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引用次数: 1157

摘要

直觉模糊集(IFS)是隶属度为区间的模糊集的推广。也就是说,隶属度不是单个值,而是一个区间。对于这种类型的模糊集,已经定义了大量的运算,并且在过去几年中已经开发了一些应用。本文描述了犹豫模糊集。它们是模糊集的另一种推广。虽然在意图上与IFS相似,但在解释和经营者上存在一些基本的差异。本文回顾了它们的定义和主要结果,并给出了一个可拓原理,该原理允许将模糊集上已有的运算推广到这种新的模糊集上。我们还讨论了它们在决策中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On hesitant fuzzy sets and decision
Intuitionistic Fuzzy Sets (IFS) are a generalization of fuzzy sets where the membership is an interval. That is, membership, instead of being a single value, is an interval. A large number of operations have been defined for this type of fuzzy sets, and several applications have been developed in the last years. In this paper we describe hesitant fuzzy sets. They are another generalization of fuzzy sets. Although similar in intention to IFS, some basic differences on their interpretation and on their operators exist. In this paper we review their definition, the main results and we present an extension principle, which permits to generalize existing operations on fuzzy sets to this new type of fuzzy sets. We also discuss their use in decision making.
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