Relationship between intuitionistic fuzzy similarity measures

2011 ◽  
Author(s):  
Leila Baccour ◽  
Adel M. Alimi ◽  
Robert I. John
Keyword(s):  
Similarity Measures ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Similarity

On Integration Linguistic Factors to Fuzzy Similarity Measures and Intuitionistic Fuzzy Similarity Measures

2019 ◽  
Vol 10 (1) ◽  
pp. 1-37
Author(s):  
Pham Hong Phong ◽  
Vu Thi Hue
Keyword(s):  
Similarity Measure ◽  
Similarity Measures ◽  
Classification Algorithms ◽  
Classification Problems ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Similarity ◽  
New Concepts ◽  
Fuzzy Linguistic

The article is concerned with integrating linguistic elements into fuzzy similarity measures and intuitionistic fuzzy similarity measure. Some new concepts are proposed: a fuzzy linguistic value (FLv), a fuzzy linguistic vector (FLV), an intuitionistic fuzzy linguistic vector (ILV) and similarity measures. The proposed measures are used to build classification algorithms. As predicted theoretically, experiments show that with the same type of similarity measures, the linguistic-aggregated similarity measures produce better results in classification problems.

scholarly journals Intuitionistic Fuzzy Similarity Measures and Their Role in Classification

2016 ◽  
Vol 25 (2) ◽  
pp. 221-237 ◽  
Author(s):  
Leila Baccour ◽  
Adel M. Alimi ◽  
Robert I. John
Keyword(s):  
Similarity Measures ◽  
Intuitionistic Fuzzy Sets ◽  
Distance Measures ◽  
Fuzzy Information ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Similarity ◽  
Metric Distance ◽  
Handwritten Arabic ◽  
Selection Of

AbstractWe present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs. The measures are applied to classification of shapes and handwritten Arabic sentences described with intuitionistic fuzzy information. The experimental results permitted to do a comparative analysis between intuitionistic fuzzy similarity and distance measures, which can facilitate the selection of such measure in similar applications.

Two Trigonometric Intuitionistic Fuzzy Similarity Measures

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Edge Detection ◽  
Similarity Measure ◽  
Medical Diagnosis ◽  
Similarity Measures ◽  
Intuitionistic Fuzzy Sets ◽  
Trigonometric Functions ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Similarity

Intuitionistic Fuzzy Sets(1986) invented by Atanassov(Atanassov, 1986) has gained the 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 tool 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 and pattern recognition.

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