摘要：By analyzing the drivers' main consideration about how to choose a parking space, this paper is committed to path optimization of parking lot by grey entropy relation grade multi-attribute decision making. The decision attribute matrix is identified by driving distance which is deduced through Dijkstra algorithm, walking distance deduced through Euclidean distance and parking space environment value deduced through the expectation of triangular fuzzy number. Finally, an example would be analyzed to verify the feasibility of the method.
关键词：parking lot optimal routing ; ； ; grey entropy relation grade ; ； ; Multiple Attribute ; Decision Making (MADM)
