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A novel framework for case-based decision analysis
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-9857-4317
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-5562-1424
2008 (English)In: TENTH SCANDINAVIAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2008, p. 141-148Conference paper, Published paper (Refereed)
Abstract [en]

Case-based reasoning (CBR) and decision analysis have been two separate research areas aiming to solve problems from different perspectives. CBR is powerful to offer solutions to problems by reusing previous experiences, while decision theory exhibits its strength in dealing with uncertain, nondeterministic situations subject to likelihoods, risks, and probable consequences. In this paper, we present a novel framework of integrating CBR and decision analysis for the purpose of case-based decision analysis. CBR is employed as a methodology to reason from previous cases for building a decision model given the current situation, while decision theory is applied to the decision model learnt from previous cases to identify the most promising, Secured, and rational choices. In such a way, we take advantage of both the ability of CBR to learn without domain knowledge and the strength of decision theory to analyze under uncertainty. 

Place, publisher, year, edition, pages
2008. p. 141-148
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 173
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-7131ISI: 000273520700018ISBN: 000273520700018 (print)OAI: oai:DiVA.org:mdh-7131DiVA, id: diva2:237141
Conference
10th Scandinavian Conference on Artificial Intelligence (SCAI 2008) Location: Stockholm, SWEDEN Date: 2008
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2013-12-03Bibliographically approved

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Xiong, NingFunk, Peter

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