Evolutionary multi-objective based hierarchical interval type-2 beta fuzzy system for classification problems
FUZZ-IEEE, pp. 1-6, 2017.
This study addresses evolutionary structure optimization and parameter tuning processes for evolving a proposed Hierarchical interval Type-2 Beta Fuzzy System (HT2BFS). The structure learning phase is performed in a multi-objective context by applying the Multi-Objective Extended Genetic Programming (MOEGP) algorithm. This phase aims to o...More
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