Evolutionary multi-objective based hierarchical interval type-2 beta fuzzy system for classification problems

    FUZZ-IEEE, pp. 1-6, 2017.

    Cited by: 0|Bibtex|1|
    EI

    Abstract:

    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
    Your rating :
    0

     

    Tags
    Comments