What Is Fuzzy Inference Systems? - ProProfs

What Is Fuzzy Inference Systems?

A. The process of formulating the mapping from a given input to an output using fuzzy logic
B. Changing the output value to match the input value to give it an equal balance
C. Having a larger output than the input
D. Having a smaller output than the input

This question is part of QUIZ ON FUZZY INFERENCE SYSTEMS/MAMDANIS METHODS/FUZZY LOGIC TOOLBOX
Asked by Screwtherules on Jun 05, 2018

Request Answer   Share    ... Answer AnonymouslyAnswer Later Copy Link J. Shatner

J. Shatner Content writer, Boston

Answered on Sep 09, 2019

The correct answer to this question is A, The process of formulating the mapping from a given input to an output using fuzzy logic. This system can also be referred to as FIS, which are the initials for the fuzzy inference system. There are two types of fuzzy inference systems. One is Mamdani-type, which expects outputs to be fuzzy sets. The other is Sugeno type, in which the outputs can be either linear or constant.

Both of these types determine the type of production there will be. Fuzzy inference systems use different elements, like fuzzy logic operators, membership functions, and if-then rules.   Reply screwtherules

Screwtherules

Answered on Jun 05, 2018

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