An approach to extract topological information from Intuitionistic Fuzzy Sets and their application in obtaining a Natural Hierarchical Clustering Algorithm-Reference-Cited by-同舟云学术

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An approach to extract topological information from Intuitionistic Fuzzy Sets and their application in obtaining a Natural Hierarchical Clustering Algorithm

Published:2024-07 Issue: Volume:160 Page:111691
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Khan Mohd Shoaib^ORCID

Publisher

Elsevier BV

Reference44 articles.

1. Interval valued intuitionistic fuzzy sets;Atanassov;Intuitionist. Fuzzy Sets: Theory Appl.,1999

2. Fuzzy sets;Zadeh;Inf. Control,1965

3. New bounded variation based similarity measures between atanassov intuitionistic fuzzy sets for clustering and pattern recognition;Ashraf;Appl. Soft Comput.,2019

4. Multiple attribute decision making based on MAIRCA, standard deviation-based method, and pythagorean fuzzy sets;Rani;Inform. Sci.,2023

5. Distance measures on intuitionistic fuzzy sets based on cross-information dissimilarity and their diverse applications;Gogoi;Artif. Intell. Rev.,2023

Cited by 2 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. New distance measures of complex Fermatean fuzzy sets with applications in decision making and clustering problems;Information Sciences;2025-01

2. A Novel Clark Distance-Based Decision-Making Algorithm on Intuitionistic Fuzzy Sets;Electronics;2024-09-02

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