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Dealing with complex queries in decision-support systems

Authors :
Fernández del Pozo, J.A.
Bielza, C.
Source :
Data & Knowledge Engineering. Feb2011, Vol. 70 Issue 2, p167-181. 15p.
Publication Year :
2011

Abstract

Abstract: In decision-making problems under uncertainty, a decision table consists of a set of attributes indicating what is the optimal decision (response) within the different scenarios defined by the attributes. We recently introduced a method to give explanations of these responses. In this paper, the method is extended. To do this, it is combined with a query system to answer expert questions about the preferred action for a given instantiation of decision table attributes. The main difficulty is to accurately answer queries associated with incomplete instantiations. Incomplete instantiations are the result of the evaluation of a partial model outputting decision tables that only include a subset of the whole problem, leading to uncertain responses. Our proposal establishes an automatic and interactive dialogue between the decision-support system and the expert to elicit information from the expert to reduce uncertainty. Typically, the process involves learning a Bayesian network structure from a relevant part of the decision table and computing some interesting conditional probabilities that are revised accordingly. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0169023X
Volume :
70
Issue :
2
Database :
Academic Search Index
Journal :
Data & Knowledge Engineering
Publication Type :
Academic Journal
Accession number :
57161884
Full Text :
https://doi.org/10.1016/j.datak.2010.10.006