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A genetic algorithm based Pareto optimization hedge-algebra-based fuzzy rules-sets
2012
Journal of Computer Science and Cybernetics
In this paper, we present a method for finding the optimal hedge-algerbas-based fuzzy rules-set based on Pareto optimization algorithm (NSGA-II) proposed by Deb in [5] . The changllenge in methods for constructing classification rules based on fuzzy sets is difficult to represent the rules in linguist, therefore the hedge algebras based methods will overcome this problem. Further, fuzzy rules are extracting directly from the patterns based on the partition of the systems of similarity intervals
doi:10.15625/1813-9663/26/2/525
fatcat:pqpvx3ykyjhrxdn3aoyye76hwu