Answering queries on graphical decision models with fuzzy parameters: Algorithms and comparisons

Han Ying Kao*, Chia Hui Huang, Han-Lin Li

*Corresponding author for this work

研究成果: Conference article同行評審

摘要

The reasoning strategy is a critical component for expert systems or decision support systems. After thorough self-evaluation and environmental scan, the knowledge workers need a reliable mechanism for diagnosis and an optimal suggestion for problem solving. This paper designs a reasoning model with a well-known graphical decision model, influence diagrams. In the proposed model, fuzzy probabilities as well as crisp probabilities are involved. The influence diagrams work compactly in problem diagnosis and decision making aid. Two algorithms to handle the fuzzy parameters, piecewise linearization and α-cut methods will be implemented and compared.

原文English
頁(從 - 到)148-153
頁數6
期刊Proceedings of the IASTED International Conference on Modelling, Simulation, and Optimization
出版狀態Published - 27 十二月 2004
事件Proceedings of the Fourth IASTED International Conference on Modelling, Simulation, and Optimization - Kauai, HI, United States
持續時間: 17 八月 200419 八月 2004

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