A Data Model for Algorithmic Multiple Criteria Decision Analysis - Archive ouverte HAL
Article Dans Une Revue Annals of Operations Research Année : 2014

A Data Model for Algorithmic Multiple Criteria Decision Analysis

Résumé

Various software tools implementing Multiple Criteria Decision Analysis (MCDA) methods have appeared over the last decades. Although MCDA methods share common features, most of the implementing software have been developed independently from scratch. Majority of the tools have a proprietary storage format and exchanging data among software is cumbersome. Common data exchange standard would be useful for an analyst wanting to apply different methods on the same problem. The Decision Deck project has proposed to build components implementing MCDA methods in a reusable and interchangeable manner. A key element in this scheme is the XMCDA standard, a proposal that aims to standardize an XML encoding of common structures appearing in MCDA models, such as criteria and performance evaluations. Although XMCDA allows to present most data structures for MCDA models, it almost completely lacks data integrity checks. In this paper we present a new comprehensive data model for MCDA problems, implemented as an XML schema. The data model includes types that are sufficient to represent multi-attribute value/utility models, ELECTRE III/TRI models, and their stochastic (SMAA) extensions, and AHP. We also discuss use of the data model in algorithmic MCDA.
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Dates et versions

hal-00941128 , version 1 (12-03-2014)

Identifiants

Citer

Olivier Cailloux, Tommi Tervonen, Boris Verhaegen, François Picalausa. A Data Model for Algorithmic Multiple Criteria Decision Analysis. Annals of Operations Research, 2014, 217 (1), pp.77 - 94. ⟨10.1007/s10479-014-1562-1⟩. ⟨hal-00941128⟩
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