標題: Constrained abductive reasoning with fuzzy parameters in Bayesian networks
作者: Li, HL
Kao, HY
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: abductive reasoning;Bayesian networks;fuzzy parameters;optimization;constraints
公開日期: 1-一月-2005
摘要: This work proposes a novel approach for solving abductive reasoning problems in Bayesian networks involving fuzzy parameters and extra constraints. The proposed method formulates abduction problems using nonlinear programming. To maximize the sum of the fuzzy membership functions subjected to various constraints, such as boundary, dependency and disjunctive conditions, unknown node belief propagation is completed. The model developed here can be built on any exact propagation methods, including clustering, joint tree decomposition, etc. (C) 2003 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/S0305-0548(03)00204-1
http://hdl.handle.net/11536/25110
ISSN: 0305-0548
DOI: 10.1016/S0305-0548(03)00204-1
期刊: COMPUTERS & OPERATIONS RESEARCH
Volume: 32
Issue: 1
起始頁: 87
結束頁: 105
顯示於類別:期刊論文


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