New Similarity Measure Between Two Fuzzy Sets

Author:

Rezaei Hassan, ,Emoto Masashi,Mukaidono Masao

Abstract

We propose a new similarity measure between two fuzzy sets based on their relative sigma count and extend it to define two other measures, one a similarity measure between elements in fuzzy sets and the second a similarity measure between fuzzy sets in which all elements in the universe of discourse are weighted. We compare our proposal to several previous measures proposed in [1-6].

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GPU-based Parallel Technique for Solving the N-Similarity Problem in Textual Data Mining;2024 Third International Conference on Distributed Computing and High Performance Computing (DCHPC);2024-05-14

2. The Least Squares Method for Estimating Regression Model Parameters with Bipolar Fuzzy Numbers;2024

3. Introducing a trapezoidal interval type-2 fuzzy regression model;Journal of Intelligent & Fuzzy Systems;2022-02-02

4. Similarity for Multisets and Heterogeneous Sets;Information Processing and Management of Uncertainty in Knowledge-Based Systems;2022

5. Similarity measure of multiple sets and its application to pattern recognition;Informatica;2020-09-15

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