Fuzzification

Introduction:-The fuzzification is a process of transforming crisp values into grades of membership for linguistic terms of fuzzy sets.

The purpose is to allow a fuzzy condition in a rule to be interpreted.

• Fuzzification of the car speed

Example 1 : Speed X0 = 70km/h

Fuzzy Inference:-Fuzzy Inferencing is the core element of a fuzzy system.Fuzzy Inferencing combines - the fact obtained from the fuzzification with the rule base, and then conducts the fuzzy reasoning process.Fuzzy Inference is also known as approximate reasoning. Fuzzy Inference is computational procedures used for evaluating linguisticdescriptions. Two important inferring procedures are

− Generalized Modus Ponens (GMP)

− Generalized Modus Tollens (GMT)