The Best Path Analysis in Military Highway Transport Based on DEA and Multiobjective Fuzzy Decision-Making. (20th February 2014)

• Record Type: Journal Article
• Authors: Juan, Wu; Huapu, Lu; Xu, Sun; Xianfeng, Liu; Huijun, Yang
• Other Names: Chen Gang Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2014(2014)
• Publication Date: 2014-02-20
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2014/206024
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Military transport path selection directly affects the transport speed, efficiency, and safety. To a certain degree, the results of the path selection determine success or failure of the war situation. The purpose of this paper is to propose a model based on DEA (data envelopment analysis) and multiobjective fuzzy decision-making for path selection. The path decision set is established according to a search algorithm based on overlapping section punishment. Considering the influence of various fuzzy factors, the model of optimal path is constructed based on DEA and multitarget fuzzy decision-making theory, where travel time, transport risk, quick response capability, and transport cost constitute the evaluation target set. A reasonable path set can be calculated and sorted according to the comprehensive scores of the paths. The numerical results show that the model and the related algorithms are effective for path selection of military transport.