Restoring Consistency in Systems of Fuzzy Gradual Rules Using Similarity Relations

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. Source URL: https://www.iiia.csic.es/en/node/55598 Links [1] https://www.iiia.csic.es/en/staff/isabela-drummond [2] https://www.iiia.csic.es/en/staff/llu%C3%ADs-godo [3] https://www.iiia.csic.es/en/staff/sandra-sandri [4] https://www.iiia.csic.es/en/bibliography?f[author]=2339 [5] https://www.iiia.csic.es/en/bibliography?f[author]=2340