Foundational propositions of hesitant fuzzy sets and parameter reductions of hesitant fuzzy information systems

Author:

Shizhan Lu

Keyword:

Computer Science, Artificial Intelligence, Artificial Intelligence (cs.AI), Information Theory (cs.IT), Machine Learning (cs.LG)

journal:

date:

2023-11-06 16:00:00

Abstract

Hesitant fuzzy sets are widely used in the instances of uncertainty and hesitation. The inclusion relationship is an important and foundational definition for sets. Hesitant fuzzy set, as a kind of set, needs explicit definition of inclusion relationship. Base on the hesitant fuzzy membership degree of discrete form, several kinds of inclusion relationships for hesitant fuzzy sets are proposed. And then some foundational propositions of hesitant fuzzy sets and the families of hesitant fuzzy sets are presented. Finally, some foundational propositions of hesitant fuzzy information systems with respect to parameter reductions are put forward, and an example and an algorithm are given to illustrate the processes of parameter reductions.

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