Belief Function Approach to Evidential Reasoning in Causal Maps

Belief Function Approach to Evidential Reasoning in Causal Maps

Rajendra P. Srivastava (University of Kansas, USA), Mari W. Buche (Michigan Technological University, USA) and Tom L. Roberts (University of Kansas, USA)
Copyright: © 2005 |Pages: 33
DOI: 10.4018/978-1-59140-396-8.ch005
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Abstract

The purpose of this chapter is to demonstrate the use of the evidential reasoning approach under the Dempster-Shafer (D-S) theory of belief functions to analyze revealed causal maps (RCM). The participants from information technology (IT) organizations provided the concepts to describe the target phenomenon of Job Satisfaction. They also identified the associations between the concepts. This chapter discusses the steps necessary to transform a causal map into an evidential diagram. The evidential diagram can then be analyzed using belief functions technique with survey data, thereby extending the research from a discovery and explanation stage to testing and prediction. An example is provided to demonstrate these steps. This chapter also provides the basics of Dempster-Shafer theory of belief functions and a step-by-step description of the propagation process of beliefs in tree-like evidential diagrams.

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