Fuzzy Inference Systems
Himanshu Singh, Yunis Ahmad Lone · Apress eBooks · 2019
The previous two chapters explained the core concepts related to Fuzzy Logic. They discussed Fuzzy Sets and how they are different from the classical/crisp sets. You also learned about various operations that can be done on them and their properties. Then you learned about membership functions, which define the membership values of each element present in a Fuzzy Set. You learned about the different types of membership functions. Later, you learned about the Fuzzy Rules and reasoning approaches that utilize the concepts of membership functions to give various Fuzzy Solutions.