A method for ordinal classification in multicriteria decision making

Risto Lahdelma*, Pekka Salminen

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    10 Citations (Scopus)

    Abstract

    In a discrete multicriteria decision problem, a finite set of alternatives are evaluated in terms of multiple criteria. When the goal is to partition the alternatives into predefined ordered categories, this is called an ordinal classification or sorting problem. In this paper we present the new SMAA-OC method for the ordinal classification problem that can handle uncertain, imprecise or partially missing criteria and preference information. SMAA-OC is based on a utility or value function to represent the DMs' preference structure and boundary profiles to define the categories. The method is implemented through stochastic simulation and statistical analysis. We demonstrate the method with a small example.

    Original languageEnglish
    Title of host publicationProceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
    Pages420-425
    Number of pages6
    Publication statusPublished - 2010
    MoE publication typeA4 Conference publication
    EventIASTED International Conference on Artificial Intelligence and Applications - Innsbruck, Austria
    Duration: 15 Feb 201017 Feb 2010
    Conference number: 10

    Conference

    ConferenceIASTED International Conference on Artificial Intelligence and Applications
    Abbreviated titleAIA
    Country/TerritoryAustria
    CityInnsbruck
    Period15/02/201017/02/2010

    Keywords

    • Classification
    • Decision support
    • Multicriteria analysis
    • Probabilistic Reasoning

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