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Multimethod and multicriteria decision analysis of objects in a computerized decision support system

Author

Listed:
  • Jarosław Becker
  • Aneta Becker
  • Ryszard Budziński

Abstract

A multimethod approach to the multicriteria analysis and assessment of objects (rankings, grouping, econometric assessments) have been presented. This issue is a field of research and engineering associated with the construction and application of a computerized decision support system (DSS 2.0). In terms of the proposed approach, the functionality of the developed prototype has been illustrated based on a practical example of the assessment of employees and the analysis of remuneration. The Electre TRI method of grouping derived from a relational model complements ranking methods well (e.g., AHP) based on the functional model. Grouping reveals cases, where all or the vast majority of objects in a ranking were clustered within one class (e.g., in the best or the worst one).

Suggested Citation

  • Jarosław Becker & Aneta Becker & Ryszard Budziński, 2017. "Multimethod and multicriteria decision analysis of objects in a computerized decision support system," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(3), pages 21-33.
    • Handle: RePEc:wut:journl:v:3:y:2017:p:21-33:id:1299
    DOI: 10.5277/ord170302
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    References listed on IDEAS

    as
    1. Greco, Salvatore & Matarazzo, Benedetto & Slowinski, Roman, 2001. "Rough sets theory for multicriteria decision analysis," European Journal of Operational Research, Elsevier, vol. 129(1), pages 1-47, February.
    2. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, March.
    3. Roy, Bernard & Slowinski, Roman, 2008. "Handling effects of reinforced preference and counter-veto in credibility of outranking," European Journal of Operational Research, Elsevier, vol. 188(1), pages 185-190, July.
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