Title :
Optimization of the Interval Type-2 Fuzzy C-Means using Particle Swarm Optimization
Author :
Rubio, E. ; Castillo, Oscar
Author_Institution :
Div. of Grad. studies & Res., Tijuana Inst. of Technol., Tijuana, Mexico
Abstract :
This paper presents the implementation of Particle Swarm Optimization for the optimization of Interval Type-2 Fuzzy C-Means algorithm, this in order to automatically find the optimal number of clusters c and the interval of fuzzification or weight exponent [m1, m2], using as objective function for optimization algorithm an index cluster validation.
Keywords :
fuzzy set theory; particle swarm optimisation; pattern clustering; index cluster validation; interval type-2 fuzzy c-means algorithm; particle swarm optimization; weight exponent; Equations; Mathematical model; Cluster Validation; Interval Type-2 Fuzzy C-Means; Particle Swarm Optimization;
Conference_Titel :
Nature and Biologically Inspired Computing (NaBIC), 2013 World Congress on
Conference_Location :
Fargo, ND
Print_ISBN :
978-1-4799-1414-2
DOI :
10.1109/NaBIC.2013.6617847
