Fuzzy logic is a powerful method for mapping space input into space output. Between space input
\nand output there is a black box for mapping input towards suitable output. Although many ways
\nworks with the black box, fuzzy logic will give powerful solution. The purpose of the research is
\nlooking for relation parameters between velocity and brake pressure of vehicle model that can be
\ncontrol to determine optimum brake distance of vehicle model by using rules base of fuzzy logic
\nwith verbose format. The step of research methodology are: determining space input variable of
\nfuzzy logic i.e. : velocity and brake pressure, using fuzzy operator, using implication function,
\ncomposing space fuzzy output of brake distance, and then processing of defuzzification. The result
\nof this research has given optimum brake distance of model vehicle. Where as the maximum of
\nvelocity = 112 km\/h and brake pressure (P brake) = 80 bars will give minimum brake distance = 24.90
\nmeters, if brake pressure \u2264 22.8 bars will give maximum braking distance = 52.30 meters. The
\nconclusion is model vehicle with brake pressure 20 bars <P brake< 80 bars will give brake distance:
\n24.90 meters< S brake< 52.30 meters in working velocity.<\/p>","protected":false},"author":29,"featured_media":0,"template":"","class_list":["post-3615","faculty-post","type-faculty-post","status-publish","hentry"],"acf":[],"yoast_head":"\n