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Interval type-2 credibilistic clustering for pattern recognition

  • Published:2015-11 Issue:11 Volume:48 Page:3652-3672
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Rostam Niakan Kalhori M.,Fazel Zarandi M.H.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference60 articles.

1. Fuzzy Cluster Analysis;Hoppner,1999

2. Pattern Recognition with Fuzzy Performance Index Algorithms;Bezdek,1981

3. A possibilistic approach to clustering;Krishnapuram;IEEE Trans. Fuzzy Syst.,1993

4. An extension to possibilistic fuzzy cluster analysis;Timm;Fuzzy Sets Syst.,2004

5. A possibilistic fuzzy c-means clustering algorithm;Pal;IEEE Trans. Fuzzy Syst.,2005

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2. A new interval type-2 fuzzy reasoning method for classification systems based on normal forms of a possibility-based fuzzy measure;Information Sciences;2021-12

3. Typical Characteristic-Based Type-2 Fuzzy C-Means Algorithm;IEEE Transactions on Fuzzy Systems;2021-05

4. Hybrid Harris Hawks Optimization with Differential Evolution for Data Clustering;Metaheuristics in Machine Learning: Theory and Applications;2021

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