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An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques.

, , , , , and . Adv. Fuzzy Syst., (2017)

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Optimization of the Interval Type-2 Fuzzy C-Means using Particle Swarm Optimization., and . NaBIC, page 10-15. IEEE, (2013)Interval Type-2 Fuzzy System Design Based on the Interval Type-2 Fuzzy C-Means Algorithm., , and . Fuzzy Technology, volume 335 of Studies in Fuzziness and Soft Computing, Springer, (2016)Interval Type-2 Fuzzy Possibilistic C-Means Clustering Algorithm., , and . WCSC, volume 342 of Studies in Fuzziness and Soft Computing, page 185-194. Springer, (2014)Interval type-2 fuzzy clustering for membership function generation., and . HIMA, page 13-18. IEEE, (2013)Designing Type-2 Fuzzy Systems Using the Interval Type-2 Fuzzy C-Means Algorithm., and . Recent Advances on Hybrid Approaches for Designing Intelligent Systems, volume 547 of Studies in Computational Intelligence, Springer, (2014)A new Interval Type-2 Fuzzy Possibilistic C-Means clustering algorithm., , and . NAFIPS/WConSC, page 1-5. IEEE, (2015)Interval Type-2 Fuzzy Possibilistic C-Means Optimization Using Particle Swarm Optimization., and . Nature-Inspired Design of Hybrid Intelligent Systems, volume 667 of Studies in Computational Intelligence, Springer, (2017)A New Proposal for a Granular Fuzzy C-Means Algorithm., and . Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, volume 601 of Studies in Computational Intelligence, Springer, (2015)An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques., , , , , and . Adv. Fuzzy Syst., (2017)A new validation index for fuzzy clustering and its comparisons with other methods., , and . SMC, page 301-306. IEEE, (2011)