Fuzzy system

Objectives: Design of Neuro Fuzzy Systems. Assume a simple fuzzy controller with input (X) and output (Y). The membership functions of fuzzy sets for the input and output are given bellow. Consider these rules: R1: If X is F1 Then Y is NEGATIVE R2: If X is F2 Then Y is ZERO R3: If X is F3 Then Y is POSITIVE [A]. Suppose the current value of input X is +0.6, then 1. Show graphically the fuzzification, rule evaluation and defuzzification processes? 2. What should the crisp output for the given inputs and rules? 3. Explain at least one advantage and one disadvantage of using Fuzzy logic in dealing with control of mechatronic systems in comparison to other methods? [B]. List three main approaches for Neuro-Fuzzy architecture? [C]. For the given fuzzy rules; 1. Draw the Neuro-Fuzzy equivalent system for these rules? 2. Describe the function of each layer in the Neuro-Fuzzy system