Restoring Consistency in Systems of Fuzzy Gradual Rules Using Similarity Relations
Publication Type:
Conference PaperSource:
Lecture Notes in Artificial Intelligence, Springer-Verlag, Volume 2507, p.386-396 (2002)Abstract:
Were present here a method that uses similarity relations to restore consistency in fuzzy gradual rules systems: we propose to transform potentially inconsistent rules by making their consequents more imprecise. Using a suitable similarity relation we obtain consistent rules with a minimum of extra imprecision. We also present an application to illustrate the approach.
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