Two Trigonometric Intuitionistic Fuzzy Similarity Measures

被引：3
作者：
Boora, Rozy [1 ]
Tomar, Vijay Prakash [1 ]
机构：
[1] Deenbandhu Chhotu Ram Univ Sci & Technol, Murthal, Haryana, India
来源：
INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY | 2022年 / 14卷 / 01期
关键词：
Decision-Making; Fuzzy Sets; Intuitionistic Fuzzy Sets; Medical Diagnosis; Pattern Recognition; Similarity Measure; VAGUE SETS; ENTROPY;
D O I：
10.4018/IJDSST.286694
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Intuitionistic fuzzy sets (1986) invented by Atanassov has gained wide popularity among various researchers because of its applications in various fields such as image processing, edge detection, medical diagnosis, pattern recognition, etc. One of the significant tools by which the decision can be made is intuitionistic fuzzy similarity measure. In this communication, the authors have introduced two new intuitionistic fuzzy similarity measures based on the trigonometric functions, and its validity is proved. The proposed similarity measure is applied to medical diagnosis, pattern diagnosis, and bacteria detection.
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页数：23
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