NDLI: Aids to Bayesian belief network construction

Content Provider	IEEE Xplore Digital Library
Author	Rajabally, E. Sen, P. Whittle, S. Dalton, J.
Copyright Year	2004
Description	Author affiliation: Newcastle upon Tyne Univ., UK (Rajabally, E.; Sen, P.)
Abstract	Bayesian belief nets provide a formalism for reasoning under uncertainty based upon probability theory that dates back to the 18th century. They have been used to promote understanding and support decision making in a variety of circumstances. However, the use of Bayesian belief nets in many complex problem domains is not a straightforward task and the aim of This work is to provide a survey of aids to Bayesian belief net construction. Firstly, attention is drawn to the range of computer based applications that are available to assist in the application of Bayesian belief nets. Following this, direction is offered on the initial task in Bayesian belief net construction of determining the topology or graph structure for a particular domain. Guidelines are then given on the important step of quantifying the determined Bayesian belief net or populating its nodes with the required probability values. Firstly, techniques to reduce the magnitude of the quantification task are considered. Secondly, various ways of eliciting the required beliefs are surveyed. Finally, means to enhance the rigour, accuracy and objectiveness of elicited beliefs are offered. The presented insights have arisen from pursuing the use of Bayesian belief nets for problem solving within BAE SYSTEMS and contribute to the development of software for decision support in systems engineering.
Sponsorship	IEEE Instrumentation and Measurement Soc. IEEE IM/CS/SMC Joint Chapter of Bulgaria
Starting Page	457
Ending Page	461
File Size	376005
Page Count	5
File Format	PDF
ISBN	0780382781
DOI	10.1109/IS.2004.1344793
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-22
Publisher Place	Bulgaria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Acquired immune deficiency syndrome Bayesian methods Educational institutions Telephony Topology Uncertainty Decision making Application software Systems engineering and theory Technological innovation
Content Type	Text
Resource Type	Article

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