期刊
INFORMATION SCIENCES
卷 547, 期 -, 页码 1182-1200出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2020.09.072
关键词
Subsethood; Inclusion; Precedence; Similarity; Interval-valued fuzzy set; Interval-valued aggregation function
资金
- Centre for Innovation and Transfer of Natural Sciences and Engineering Knowledge of University of Rzeszow, Poland [RPPK.01.03.00-18-001/10]
The study focuses on measuring the degree of inclusion and similarity between interval-valued fuzzy sets and introduces a new approach for constructing indicators based on precedence relation, aggregation, and uncertainty assessment. Selected properties and interactions of the proposed measures are examined, followed by a discussion and comparison with existing similarity measures in the literature.
We consider the problem of measuring the degree of inclusion and similarity between interval-valued fuzzy sets. We propose a new idea for constructing indicators of inclusion and similarity measures based on the precedence relation, aggregation and uncertainty assessment. Furthermore, we examine selected properties of the suggested measures and their interactions. Finally, we discuss several similarity measures that appear in the literature and compare them with our novel approach. (C) 2020 Elsevier Inc. All rights reserved.
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