NDLI: The Methods for Solving Influence Diagrams: A Review

Content Provider	IEEE Xplore Digital Library
Author	Ming Yang Lihua Zhou Huifeng Ruan
Copyright Year	2013
Description	Author affiliation: Sch. of Inf., Yunnan Univ., Kunming, China (Lihua Zhou) \|\| Coll. of Yunnan Tranditional Medician, Kunming, China (Ming Yang) \|\| Coll. of Yunnan Police Officer, Kunming, China (Huifeng Ruan)
Abstract	Influence diagrams (IDs) are one of the most commonly used graphical decision models for reasoning under uncertainty. Solving an ID means determining the optimal strategy for the decision maker and the value or certain equivalent of the decision situation when that optimal strategy is applied. Much research effort has been devoted to develop methods and algorithms for solving IDs, and a vast literature on this problem has been yielded. This paper attempts a brief exposition on the methods common used for solving IDs, for the purpose of providing a help for decision makers to select appropriate methods when they solve IDs.
Starting Page	427
Ending Page	431
File Size	162232
Page Count	5
File Format	PDF
e-ISBN	9781479928774
DOI	10.1109/ITA.2013.104
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Decision making Influence diagrams Approximation algorithms Educational institutions Inference algorithms Cognition Artificial intelligence Bayesian network Genetic algorithms
Content Type	Text
Resource Type	Article

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