Construction fuzzy logic with curve shoulder in inference system mamdani

Abstract

Abstract Fuzzy Logic is a popular methodology and widely used at cybernetics in developing software programs. Fuzzy logic is a logic which the truth values of variables any real number between 0 and 1 both are inclusive with the truth value shown through the membership function (curve). It is used to deal with the concept of partial truth, where the truth value may range between completely true or completely false. In general, fuzzy logic provides an inference structure that capable to match human reasoning which called an inference system. Fuzzy inference system Mamdani is the process of decision making based on fuzzy sets, fuzzy rules and fuzzy logic with Mamdani method (min-max). On Mamdani method, the fuzzy sets are obtained by taking the minimum value of the rule, then use it to modify the fuzzy region and apply it to the output with the operator OR (union). This paper concerns fuzzy logic construction with curve shoulder in inference system Mamdani. The result shows five steps that used to construct inference system Mamdani which are fuzzification, operator fuzzy logic, implication, aggregation, and defuzzification.