Towards multicriteria clustering: an extension of the k-means algorithm

Article Abstract:

Multicriteria decision aid (MCDA) clustering method is an extension of k-means algorithm to the multicriteria framework. This method is proposed to address the problems on the building of multicriteria categories defined by the decision maker. The applicability of the method is examined from the study of the Country Risk and the Firms Diagnosis problems.

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Link function selection in stochastic multicriteria decision making models

Article Abstract:

Impact of linear regression selection for multiple criteria decision making using stochastic methods, is analyzed.

Stochastic analysis, Regression analysis

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Estimating the circle closest to a set of points by maximum likelihood using the BHHH algorithm

Article Abstract:

Maximum likelihood point is estimated using BHHH algorithms.

Maximum likelihood estimates (Statistics), Maximum likelihood (Statistics)

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• Abstracts: A probabilistic interpretation of the final rankings in AHP. Preference and veto thresholds in multicriteria analysis based on stochastic dominance

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