A Fuzzifier with Fuzzy Vector Revised by True Values
Daren Yu · Mohu xitong yu shuxue · 2004
Fuzzifier is used to convert a real-time sampled crisp data in a physical domain to fuzzy (subset) in fuzzy reasoning domain. In fuzzy control, various methods of the fuzzy logic inference (demand) various methods of the fuzzifying, and various methods of the fuzzifying will influence the (performance) of the fuzzy control greatly. The existing fuzzifiers have been summarized systematically (firstly) in this paper. Then a fuzzifier with fuzzy vector revised by true values has been put forward. (Fuzzy) control simulation has been finished at last for a controlled system with an order, inertia, delay time and constant coefficients by the compositional rule of inference, which is often used in fuzzy (control.) The simulation results show that the fuzzifier with fuzzy vector revised by true values is (suitable) to the method of the fuzzy inference which premise is fuzzy vector and capable of improving the performance and eliminating the stable error of the fuzzy control system. The fuzzifier is not only easy to fuzzify the linear membership functions, but also convenient to fuzzify Gauss and bell (membership) functions.