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A Fuzzy Logic Based Resolution Principal for Approximate Reasoning
2017
Journal of Software Engineering and Applications
In this article, we present a systemic approach toward a fuzzy logic based formalization of an approximate reasoning methodology in a fuzzy resolution, where we derive a truth value of A from both values of B → A and B by some mechanism. For this purpose, we utilize a t-norm fuzzy logic, in which an implication operator is a root of both graduated conjunction and disjunction operators. Furthermore by using an inverse approximate reasoning, we conclude the truth value of A from both values of B
doi:10.4236/jsea.2017.1010045
fatcat:beo5esz3yfgcdnxjgrkxd4ytfu