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Erschienen in:
General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Interval Type-2 Fuzzy Possibilistic C-Means Optimization Using Particle Swarm Optimization

verfasst von : Elid Rubio, Oscar Castillo

Erschienen in: Nature-Inspired Design of Hybrid Intelligent Systems

Verlag: Springer International Publishing

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Abstract

In this paper, we present optimization of the Interval Type-2 Fuzzy Possibilistic C-Means (IT2FPCM) algorithm using Particle Swarm Optimization (PSO), with the goal of automatically finding the optimal number of clusters and the optimal lower and upper limit of Fuzzy and Possibility exponents of weight of the of the IT2FPCM algorithm, and also the centroids of clusters of each dataset tested with the IT2FPCM algorithm optimized using PSO.

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Vorheriges Kapitel Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment
Nächstes Kapitel Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detection
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Metadaten
Titel
Interval Type-2 Fuzzy Possibilistic C-Means Optimization Using Particle Swarm Optimization
verfasst von
Elid Rubio
Oscar Castillo
Copyright-Jahr
2017
Buch
Nature-Inspired Design of Hybrid Intelligent Systems

Print ISBN: 978-3-319-47053-5

Electronic ISBN: 978-3-319-47054-2

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-47054-2_4