Bayesian Network based on the method of AHP for making decision
The multi-criteria decision problem is to find the most satisfactory solution among many alternatives, taking into account several criteria that may be conflicting. The proposed method focuses on the person since the importance (weight) given to each criterion is defined according to the characteristics of the person. We use a special structure of Bayesian network (BN) based on the method AHP. The graph of the BN and the probabilities associated with nodes are designed to translate the knowledge of experts on the selection of an alternative.
AHP Bayesian network Multi-criteria Hierarchy
Zhe FU Veronique DELCROIX
Department of Computer Sciences University of Quebec at Montreal Montreal Canada Universite Lille Nord de France, F-59000 Lille, France UVHC, LAMIH UMR CNRS 8530, F-59313 Valencienn
国际会议
重庆
英文
223-227
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）