Maximum-Entropy-Based Decision-Making Trial and Evaluation Laboratory and Its Application in Emergency Management

被引:35
作者
Che, Yuelin [1 ]
Deng, Yong [2 ]
Yuan, Yu-Hsi [3 ]
机构
[1] Univ Elect Sci & Technol, Sch Econ & Management, Chengdu, Peoples R China
[2] Univ Elect Sci & Technol, Inst Fundamental & Frontier Sci, Chengdu, Peoples R China
[3] Chinese Culture Univ, Dept Lab & Human Resources, Taipei, Taiwan
基金
中国国家自然科学基金;
关键词
Decision Optimization; DEMATEL; Effective Tool; Emergency Management; Information Volume; Maximum Entropy; Normalization; Uncertainty; DEMATEL; ANP; STRATEGIES; SELECTION; NETWORK; MODEL;
D O I
10.4018/JOEUC.302891
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Decision-making trial and evaluation laboratory (DEMATEL) can visualize the structure of complex causal relationships, so it is widely used in decision making. One of the important steps in DEMATEL is normalization, and it has received much attention in recent years. Maximum entropy (MaxEnt) is a universal principle, and it is an effective tool for determining the amount of information existed in evidence. In this paper, the authors propose MaxEnt-based DEMATEL. The greatest contribution in this paper is the use of MaxEnt principle to determine the normalized direct influence matrix, which allows to obtain the normalized matrix with minimal information loss. The authors illustrate emergency management to show the superiority of the proposed method.
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页数:16
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