The Best Path Analysis in Military Highway Transport Based on DEA and Multiobjective Fuzzy Decision-Making | Zendy

Juan Wu | Zendy; Huapu Lu | Zendy; Sun Xu | Zendy; Xianfeng Liu | Zendy; Huijun Yang | Zendy

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The Best Path Analysis in Military Highway Transport Based on DEA and Multiobjective Fuzzy Decision-Making

Author(s) -

Juan Wu,

Huapu Lu,

Sun Xu,

Xianfeng Liu,

Huijun Yang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/206024

Subject(s) - path (computing) , data envelopment analysis , selection (genetic algorithm) , mathematical optimization , fuzzy logic , operations research , set (abstract data type) , computer science , fuzzy set , mathematics , artificial intelligence , programming language

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

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