Fuzzy Inference Systems
Zadeh represented the logic of fuzzy and used it in different scopes of science [10]. The fuzzy expert system is the type of this application uses fuzzy soft computing in expert systems region. Five customary steps in developing fuzzy expert systems are definition of verbal variables, fuzzy sets and member function, determination of fuzzy laws, coding fuzzy inference and system arrangement. Fuzzy inference systems also can control the verbal comprehend and either can provide nonlinear mapping between inputs and outputs as a universal approximation [11].For this reason, fuzzy expert systems are utilized to answer this article issue.