Strait fuzzy sets, strait fuzzy rough sets and their similarity measures-based decision making systems

In this paper, a new uncertainty modelling concept called strait fuzzy set is introduced, which brings new perspectives to both theoretical and practical advances in fuzzy mathematics. This set type allows objects/points to be graded with fuzzy membership intervals that are partitions of [0,1] (so that the union of these partitions is [0,1] and their intersection is empty) instead of fuzzy membership degrees represented as exact values in [0,1]. Moreover, some basic operations and properties of strait fuzzy sets are studied in detail. The concept of strait fuzzy rough set is put forward and its theoretical aspects are discussed. In addition, two different similarity approaches are proposed for strait fuzzy sets and strait fuzzy rough sets, and applied to measure the similarity rates of vaccines against influenza viruses.

Automated summary

This paper introduces a new uncertainty modelling concept called strait fuzzy set, which brings new perspectives to fuzzy mathematics. Strait fuzzy sets allow objects/points to be graded with fuzzy membership intervals instead of exact values. The paper also studies the basic operations and properties of strait fuzzy sets, introduces the concept of strait fuzzy rough set, and proposes similarity approaches for measuring similarity rates of vaccines against influenza viruses.