Troffaes, M. C. M. (2006) 'Generalizing the conjunction rule for aggregating conflicting expert opinions.', International journal of intelligent systems., 21 (3). pp. 361-380.
In multiagent expert systems, the conjunction rule is commonly used to combine expert information represented by imprecise probabilities. However, it is well known that this rule cannot be applied in the case of expert conflict. In this article, we propose to resolve expert conflict by means of a second-order imprecise probability model. The essential idea underlying the model is a notion of behavioral trust. We construct a simple linear programming algorithm for calculating the aggregate. This algorithm explains the proposed aggregation method as a generalized conjunction rule. It also provides an elegant operational interpretation of the imprecise second-order assessments, and thus overcomes the problems of interpretation that are so common in hierarchical uncertainty models.
|Full text:||(AM) Accepted Manuscript|
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|Publisher Web site:||http://dx.doi.org/10.1002/int.20140|
|Publisher statement:||This is the accepted version of the following article: Troffaes, M. C. M. (2006) 'Generalizing the conjunction rule for aggregating conflicting expert opinions.', International journal of intelligent systems., 21 (3). pp. 361-380, which has been published in final form at http://dx.doi.org/10.1002/int.20140. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.|
|Date accepted:||No date available|
|Date deposited:||15 January 2015|
|Date of first online publication:||March 2006|
|Date first made open access:||No date available|
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