Fuzzy inference systems (FIS) have been successfully applied in variety of fields such as automatic control, data classification, decision analysis, expert systems etc. Fuzzy inference is the process of mapping a given set of inputs to an output using fuzzy logic defined by the fuzzy ‘If-Then’ rule database. The mapping provides a basis for computing the decisions. The process of fuzzy inference involves all factors discussed in previous sections, namely MFs, fuzzy logic operators and If-Then rules. There are two types of FIS that can be implemented:
These two types of inference systems vary in the way outputs are determined. Mamdani model was proposed by Ebrahim Mamdani in 1975 and is the ...