Mamdani FIS –
The Mamdani fuzzy inference system was proposed by Ebhasim Mamdani. Firstly it was designed to control a steam engine and boiler combination by a set of linguistic control rules obtained from the experienced human operators. In Mamdani inference system, the output of each rule to be a fuzzy logic set.
Comparison Between Mamdani and Sugeno Fuzzy Inference System
Prerequisite: Fuzzy Logic | Introduction
Fuzzy Inference System (FIS) is a process to interpret the values of the input vector and, on the basis of some sets of fuzzy rules, it assigns corresponding values to the output vector. This is a method to map an input to an output using fuzzy logic. Based on this mapping process, the system takes decisions and distinguishes patterns.
There are two main types of fuzzy inference systems: Mamdani FIS and Sugeno FIS.
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