Compositor Method of Relative Entropy for Interval Multi-attribute Decision-making
Meng Zhao, Qiu Wan-hua, Dayi He · Systems Engineering · 2010
This paper presents a new method to solve the problem in the interval multiple attribute decision making based on relative entropy.By using the relative entropy between an alternative solution(which will be evaluated) and the ideal solution,we define a new relative closeness to the ideal solutions,and then give the priority by the closeness.This method can avoid comparing and ranking interval numbers and effectively keep the information of the interval numbers. By comparison with other methods of multiple attribute decision making based on distance,we conclude that the proposed method can be used to rank when other methods all fail.