|
KU ScholarWorks >
School of Business >
School of Business Articles >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1808/150
|
|
View usage statistics
|
| Title: | A Causal Mapping Approach to Constructing Bayesian Networks |
| Authors: | Nadkarni, Sucheta
Shenoy, Prakash P. |
| Keywords: | Causal maps
Cognitive Maps
Bayesian networks
Bayesian causal maps |
| Issue Date: | Nov-2004 |
| Publisher: | Elsevier Science Publishers B. V. |
| Extent: | 311939 bytes |
| Type: | Article |
| Citation: | Decision Support Systems, Vol. 38, Issue 2, 2004, pp. 259--281 |
| Abstract: | This paper describes a systematic procedure for constructing Bayesian networks (BNs) from domain knowledge of experts using the causal mapping approach. We outline how causal knowledge of experts can be represented as causal maps, and how the graphical structure of causal maps can be modified to construct Bayes nets. Probability encoding techniques can be used to assess the numerical parameters of the resulting Bayes nets. We illustrate the construction of a Bayes net starting from a causal map of a systems analyst in the context of an information technology application outsourcing decision. |
| URI: | http://hdl.handle.net/1808/150 |
| Appears in Collections: | School of Business Articles
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| DSS04.pdf | | 304Kb | Adobe PDF | View/Open |
|
Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
|
Copyright © 2006 by the University of Kansas
