Fuzzification:

• It converts the crisp normalized values to fuzzy values.
• Example: dirt-SD, MD, LD (Small Dirt, Medium Dirt, Large Dirt)
• A generalized way of representing a fuzzy set is using overlapped triangular membership function

Defuzzification:

• It converts the fuzzy values to a single point wise crisp value.
• Example: If the ouput is VS (very small) then it is defuzzified to crisp value i.e. 2 min [out of 0-60 min range]