Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems


In this paper, we propose a three-objective evolutionary algorithm to generate a set of Mamdani fuzzy rule-based systems (MFRBSs) with different tradeoffs between accuracy, rule base (RB) complexity and partition integrity. The RB, the linguistic partition granularities and the membership function (MF) parameters are concurrently learnt during the… (More)
DOI: 10.1109/FUZZY.2010.5583965


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