Selecting the Maximum Satisfaction Factor Path in Fuzzy Matter-Element Based Emergency Logistics

Choice of emergency logistics route in the event of a sudden natural disaster is a multi-objective evaluation problem. It is difficult to realize accurately because of strong uncertainty and fuzziness, but it is easy to express as Symmetric Triangular Fuzzy Number (STFN). STFN are gained through fuzzy matter-element comprehensive evaluation on the main influence factors of road network's sections. Considering the problem of finding a path which the retrieve vehicle can reach the destination from the start node in a given deadline with the maximum satisfaction factor, an algorithm is proposed to solve this problem by using the shortest path approach repeatedly. Hence quantitative gist for decision of emergency logistics route was provided.