In Layer 2 of ANFIS sugeno type model, it serves to evoke firing-strength by multiplying each input signal. why the firing strength need to be normalised?
The structure of the ANFIS is considered for simplicity as a fuzzy system with only two inputs and one output of first-order sugeno type. The output of each layer is the input of next layer. The first layer is the input layer that is adaptive of the nonlinear parameters and carries out the fuzzification of each numeric input variable and the output is the value of membership fuvtion. The second layer that is nonadptive makes T-norm operation of each combination of the defined fuzzy sets its output is firing strengths value of each T-norm operation. Layer 3 that is nonadaptive carries out the normalisation of all firing strengths and this output normalized firing strengths…