Fuzzy Modeling Approach for Constructing Pareto-o
2016-08-23
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An approach to construct multiple Pareto-optimal
fuzzy systems based on a multi-objective genetic algorithm is
proposed in this paper. First, in order to obtain a good initial
fuzzy system, a modified fuzzy clustering algorithm is used to
identify the antecedents of fuzzy system, while the consequents
are designed separately to reduce computational burden.
Second, a Pareto multi-objective genetic algorithm based on
NSGA-II and the interpretability- driven simplification
techniques are used to evolve the initial fuzzy system iter
fuzzy systems based on a multi-objective genetic algorithm is
proposed in this paper. First, in order to obtain a good initial
fuzzy system, a modified fuzzy clustering algorithm is used to
identify the antecedents of fuzzy system, while the consequents
are designed separately to reduce computational burden.
Second, a Pareto multi-objective genetic algorithm based on
NSGA-II and the interpretability- driven simplification
techniques are used to evolve the initial fuzzy system iter
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