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Interval Type 2 Fuzzy Fireworks Algorithm for Clustering
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Author(s): Juan Barraza (Tijuana Institute of Technology, Mexico), Fevrier Valdez (Tijuana Institute of Technology, Mexico), Patricia Melin (Tijuana Institute of Technology, Mexico)and Claudia I. Gonzalez (Tijuana Institute of Technology, Mexico)
Copyright: 2020
Pages: 17
Source title:
Handbook of Research on Fireworks Algorithms and Swarm Intelligence
Source Author(s)/Editor(s): Ying Tan (Peking University, China)
DOI: 10.4018/978-1-7998-1659-1.ch009
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Abstract
This chapter presents Interval Type 2 Fuzzy Fireworks Algorithm for clustering (IT2FWAC). It is an optimization method for finding the optimal number of clusters based on the centroid features which uses the Fireworks Algorithm (FWA), but with a dynamic adjustment of parameters using an Interval Type 2 Fuzzy Inference System (IT2FIS). Three variations of the IT2FWAC are proposed to find the optimal number of clusters for different datasets: IT2FWAC -I, IT2FWAC -II, and IT2FWAC –III. They are explained in detail.
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