Penerapan Algoritma Fuzzy Logic Dalam Sistem Penunjang Keputusan

Abstract

Fuzzy has a vague meaning, the meaning of Fuzzy  Logic itself means a value that can be true or false at the same time. In decision making, unstructured decisions are often found, starting from goals, problem identification, and decision making. The Fuzzy  Logic Algorithm method that is often encountered in everyday life is the Tsukamoto method. Fuzzy  Logic Algorithm Tsukamoto method is widely used in decision support systems. Where the system is used in the field of health, marketing, human resources, education. Where in this algorithm is determined by the variables as supporting data. Tsukamoto's Fuzzy  Logic is a type of Fuzzy  Logic that serves to draw conclusions from all implications in the IF-THEN form. The result must be interpreted as a fuzzy set with a fixed membership type. Interference results must be unequivocal, obtained using the weighted average. This Fuzzy  Logic method has four stages, the first is fuzzification, which is the process of inputting a firm set into a fuzzy set. The second stage is to create a rule of obscuration, with the word "if-then" variable. The third stage is Fuzzy  Logic analysis. The fourth stage, namely defuzzification, is the process of changing the fuzzy set into the result of a firm set.