Virtual Labs

What Is The First Step Of Fuzzy Logic Toolbox?

a: Fuzzification of the input variables Explanation

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b: Defuzzification Explanation

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c: Application of the fuzzy operator (AND or OR) in the antecedent Explanation

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d: Aggregation of the consequents across the rules Explanation

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What Is The Equation For Probabilistic?

a: Probor (a,b) = a-b + ab Explanation

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b: Probor (a,b) = ab + ab Explanation

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c: Probor (a,b) = a+b - ab Explanation

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d: Probor (a,b) = a/b x ab Explanation

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What Is The Input And Output Of Step 3 - Apply Implication Method?

a: Input is a fuzzy set but the output is a whole value Explanation

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b: Input is a whole value but the output can be a fuzzy set Explanation

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c: Input and output have the same value Explanation

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d: Input is a smaller value than the output value Explanation

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Mamdani's Fuzzy Inference Method Was Designed To Attempt What?

a: Control any two combinations of any two products by synthesising a set of linguistic control rules obtained from experienced human operations. Explanation

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b: Control a television and remote combination by synthesising a set of linguistic control rules obtained from experienced human operations. Explanation

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c: Control a steam engine and a boiler combination by synthesising a set of linguistic control rules obtained from experienced human operations. Explanation

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d: Control a air craft and feul level combination by synthesising a set of linguistic control rules obtained from experienced human operations Explanation

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What Is The Input And Output Of Step 2 - Apply Fuzzy Operator?

a: The input is a single truth value and the output has two or more values Explanation

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b: The input is a value greater than one and the output is a value less than the input Explanation

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c: The input and output have both the same values Explanation

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d: The input has two or more values and the output has a single truth value Explanation

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What Is The Purpose Of Aggregation?

a: To gather all the different fuzzy set outputs and combine them into a single fuzzy set outputs Explanation

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b: To gather all the possible inputs and use the average to gain an output Explanation

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c: To gather all the different fuzzy set outputs and average them out to get a single value Explanation

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d: To subtract all the output fuzzy set values from the input values Explanation

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Fuzzy Inference System(FIS)