A Methodology for Modeling Influence Diagrams- A Case-Based Reasoning Approach

목차

Abstract
INTRODUCTION
BACKGROUND
Inence Diagram
DCA to Build an ID
Case-Based Reasoning for DCA
CASE REPRESENTATION AND RETRIEVAL
Case Representation
Case Retrieval
NODE CLASSIFICATION TREE AND CASE
ADAPTATION
Knowledge Representation for Case
Adaptation
Adaptation Process
OVERVIEW OF CASE-BASED REASONING
TO BUILD AN INFLUENCE DIAGRAM
CONCLUSIONS
References

본문내용

Abstract In this paper, a case-based reasoning approach to build an inuence diagram
is described. Building an inuence diagram in decision analysis is known to
be a most complicated and burdensome process. To overcome such a dif®culty,
decision class analysis is suggested, which treats a set of decisions having
some degree of similarity as a single unit. This research suggests a case-based
reasoning approach as a methodology to analyze a class of decisions. The
candidate inuence diagrams are retrieved from a set of similar inuence
diagrams, a case base. They are combined and modi®ed by the node classi-
®cation tree and DM`s preference for the given decision problem. For such a
purpose, the case representation and retrieval process is explained with the
adaptation process. We suggest using two measure, the ®tness and garbage
ratio for the case retrieval process.

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