Fuzzy 3

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Artificial Intelligence Tutorials: ▫ Data Mining ▫ Neural Networks ▫ Fuzzy Logic ▫ Genetic Algorithms

Tutoriales de Inteligencia artificial: ▫ Redes Neuronales ▫ Lógica Fuzzy ▫ Minería de Datos ▫ Algoritmos Genéticos

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RULE EVALUATION:

You may have a rule like this: If SPEED=SLOW and HOME=FAR then GAS=INCREASE

Supose SLOW=0.25 and FAR=0.82. The rule strength will be 0.25 (The minimum value of the antecedents) and the fuzzy variable INCREASE would be also 0.25.

Consider now another rule: If SPEED=MEDIUM and HIGHER=SECURE then GAS=INCREASE

Let be in this case, MEDIUM=0.75 and SECURE=0.5. Now the rule strength will be 0.5 (The minimum value of the antecedents) and the fuzzy variable INCREASE would be also 0.5.

So, we have two rules involving fuzzy variable INCREASE. The "Fuzzy OR" of the two rules will be 0.5 (The maximum value between the two proposed values).

INCREASE=0.5


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