A methodology for modeling influence diagrams: a case-based reasoning approach

Authors: Lee J.K.1, *; Kim J.K.2; Kim S.H.1

Source: International Journal of Intelligent Systems in Accounting, Finance & Management, Volume 9, Number 1, March 2000 , pp. 55-63(9)

Publisher: John Wiley & Sons, Ltd.

Buy & download fulltext article:

The full text article is not available for purchase.

The publisher only permits individual articles to be downloaded by subscribers.

Abstract:

In this paper, a case-based reasoning approach to build an influence diagram is described. Building an influence diagram in decision analysis is known to be a most complicated and burdensome process. To overcome such a difficulty, 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 influence diagrams are retrieved from a set of similar influence diagrams, a case base. They are combined and modified by the node classification 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 fitness and garbage ratio for the case retrieval process. The basic concept of decision class analysis and case-based reasoning is very similar so the case-based reasoning approach is believed to be a better methodology to implement a decision class analysis. Copyright © 2000 John Wiley & Sons, Ltd.

Keywords: decision analysis; case-based reasoning; influence diagram; knowledge-based systems

Language: English

Document Type: Research article

DOI: http://dx.doi.org/10.1002/(SICI)1099-1174(200003)9:1<55::AID-ISAF180>3.0.CO;2-5

Affiliations: 1: Graduate School of Management, Korea Advanced Institute of Science and Technology, Korea 2: Department of Management Information Systems, Kyonggi University, Korea *

Publication date: 2000-03-01

More about this publication?
Related content

Tools

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page