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Fuzzifier converts a non-fuzzy (crisp) input variable into a fuzzy variable representation, where membership functions assign the degree of belongingness of the variable to a specified attribute.
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The variable size of gap is a fuzzy variable, and is divided into three linguistic variables: small gap, medium gap, and large gap.
Let ξ be a fuzzy variable.
Let ξ be a fuzzy variable with credibility distribution Φ.
These crisp variables require the same treatment as a fuzzy variable to introduce them in neuro-fuzzy system.
A fuzzy variable is represented as a set of interval variables via the membership function.
The numerical input variables are converted into fuzzy variable known as linguistic variable based on a membership function similar to Fig. 3.
To deal with the inherent uncertainty, a transformation of variables into fuzzy variables is done, and through the expected value operation, the fuzzy variables are subsequently transformed into determined ones.
The essence of a fuzzy stochastic variable is a random variable with a fuzzy value, and it can be formally defined as follows.
The factors are converted into fuzzy variables and used in a set of rules to detect one of twenty two different emotions.
Each summation of a fuzzy stochastic variable over M s simulations gives an intermediate variable e. 2) Eliminate uncertain variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com