An Effective Method to Route Selection Based on TOPSIS and Amoeba Algorithm under Uncertain Environment

摘要

The route selection problem has been concerned by researchers in recent years due to its wide applications in route navigation, logistic management and so on. Researchers have established lots of algorithms to deal with this problem using crisp number. However, in the real world applications, the information is imprecise. In this paper, Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is introduced to calculate the comprehensive influence of different attributes based 011 normalized data. Then, the amoeba algorithm is implemented to find the optimal path. A numerical example is illustrated to demonstrate the efficiency of the proposed method.