A Simplified Explanation of Fuzzy Logic Applications
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fuzzy logic Unlike crisp sets, a fuzzy set allows partial belonging to a set, that is defined by a degree of membership, denoted by µ, that can take any value from 0 (
The research studied the process of improving the Likert scale based on fuzzy logic to measure latent variables and to compare the quality of fuzzy logic Fuzzy logic is an approach to computing based on degrees of truth rather than the usual true or false Boolean logic on which the modern
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fuzzy logic Unlike crisp sets, a fuzzy set allows partial belonging to a set, that is defined by a degree of membership, denoted by µ, that can take any value from 0 (
fuzzy The research studied the process of improving the Likert scale based on fuzzy logic to measure latent variables and to compare the quality of
Fuzzy logic is an approach to computing based on degrees of truth rather than the usual true or false Boolean logic on which the modern