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A t-Norm Fuzzy Logic for Approximate Reasoning
2017
Journal of Software Engineering and Applications
A t-norm fuzzy logic is presented, in which a triangular norm (t-norm) plays the role of a graduated conjunction operator. Based on this fuzzy logic we develop methods for fuzzy reasoning in which antecedents and consequents involve fuzzy conditional propositions of the form "If x is A then y is B", with A and B being fuzzy concepts (fuzzy sets). In this study, we present a systemic approach toward fuzzy logic formalization for approximate reasoning. We examine statistical characteristics of
doi:10.4236/jsea.2017.107035
fatcat:cqbnchc6vbc2fhhm33ef7lngji