Work

A Novel Similarity Measure for Interval-Valued Intuitionistic Fuzzy Sets and Its Applications

Year: 2018

Type: article

Abstract: In this paper, a novel similarity measure for interval-valued intuitionistic fuzzy sets is introduced, which is based on the transformed interval-valued intuitionistic triangle fuzzy numbers. Its superiority is shown by comparing the proposed similarity measure with some existing similarity measures by some numerical examples. Furthermore, the proposed similarity measure is applied to deal with pattern recognition and medical diagnosis problems.

Source: Symmetry

DOI: 10.3390/sym10100441

Authors: Minxia Luo, Jingjing Liang

Institution: China Jiliang University

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,896

Funder: National Natural Science Foundation of China