Systematic creation of bayesian belief networks: Relationship with logic-evolved decision tools

Kathlene W. Lechner, M. S. Student, James T. Luxhøj, Stephen W. Eisenhawer

Research output: Contribution to conferencePaperpeer-review

Abstract

Bayesian Belief Networks (BBNs) are rapidly becoming a popular modeling technique employed by decision support systems. While BBNs can be effectively implemented to represent countless probabilistically or causally related real world concerns, the systematic development of these graphical structures is significantly lacking. Potential benefits of adhering to an organized approach throughout the belief network construction process are forfeited because existing standardized procedures for this task are executed infrequently. This paper addresses a framework for an orderly development of a BBN and explores relationships between capabilities of the Logic-Evolved Decision (LED) Tools software package and the automatic construction of BBNs.

Original languageEnglish (US)
StatePublished - 2006
Event2006 IIE Annual Conference and Exposition - Orlando, FL, United States
Duration: May 20 2006May 24 2006

Other

Other2006 IIE Annual Conference and Exposition
Country/TerritoryUnited States
CityOrlando, FL
Period5/20/065/24/06

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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