“…The ANFIS rules based contains fuzzy if‐then rules of Sugeno type that can be expressed as - Rule 1: if V is A 1 and V reated is B 1 and V ref is C 1 and T is D 1 and DF is E 1 then f is f 1 ( V , V rated , V ref , T , DF).
- Rule 2: if V is A 2 and V reated is B 2 and V ref is C 2 and T is D 2 and DF is E 2 then f is f 2 ( V , V rated , V ref , T , DF).
Here V , V rated , V ref , T and DF are the ANFIS inputs, A i , B i , C i , D i and, E i states the fuzzy sets and f i ( V , V rated , V ref , T , DF) represents the outputs of the first‐order Sugeno fuzzy inference system. As (6), every node in first layer has been denoted with a node function [25] where x is the input data to node i , A i the linguistic tag associated with this node, c is the central of membership function (MF), σ is the standard deviation and is the MF of A i . In the second layer, every node is a fixed node which computes the firing strength w i of a fuzzy rule.…”