MMAS Algorithm using Fuzzy Rules

نویسندگان

  • J. L. Castro
  • J. J. Castro-Schez
چکیده

The real life problems deal with imperfectly specified knowledge and some degree of imprecision, uncertainty or inconsistency is embedded in the problem specification. The well-founded theory of fuzzy sets is a special way to model the uncertainty. The rules in a fuzzy model contain a set of propositions, each of which restricts a fuzzy variable to a single fuzzy value by means of the predicate equivalency. That way, each rule covers a single fuzzy region

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MMAS Algorithm using Fuzzy Rules

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تاریخ انتشار 2017