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ARACE – A New Method for Verbal Decision Analysis

Author

Listed:
  • Denis P. Oleynikov

    (CAD/CAE Systems Department, Volgograd State Technical University, Lenin avenue, 28, Volgograd 400005, Russia)

  • Lyudmila N. Butenko

    (CAD/CAE Systems Department, Volgograd State Technical University, Lenin avenue, 28, Volgograd 400005, Russia)

  • Helen M. Moshkovich

    (Stephens' College of Business, University of Montevallo, Montevallo 35115, USA)

  • Alexander I. Mechitov

    (Stephens' College of Business, University of Montevallo, Montevallo 35115, USA)

Abstract

ARACE is a new method developed within the framework of Verbal Decision Analysis (VDA). VDA methods work with verbal form of preference elicitation and evaluation of alternatives without resorting to numbers. ARACE is based on the ideas of the VDA method ZAPROS but uses a more flexible approach to inconsistency of the decision-maker's preferences by introducing a special construct of a "quasi-expert." Mismatched preferences of the decision-maker are viewed as preferences of several quasi-experts. The preference system for each quasi-expert is transitive, leading to consistent decision rules formed for each quasi-expert separately. These rules are used to compare alternatives. Differences in possible comparison of alternatives based on different quasi-experts are resolved through a Clustered Rankings Method for rankings with ties.

Suggested Citation

  • Denis P. Oleynikov & Lyudmila N. Butenko & Helen M. Moshkovich & Alexander I. Mechitov, 2015. "ARACE – A New Method for Verbal Decision Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 115-140.
    • Handle: RePEc:wsi:ijitdm:v:14:y:2015:i:01:n:s0219622014500801
    DOI: 10.1142/S0219622014500801
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    References listed on IDEAS

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    1. 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, December.
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    Cited by:

    1. Marjan S. Jalali & Fernando A. F. Ferreira & João J. M. Ferreira & Ieva Meidutė-Kavaliauskienė, 2016. "Integrating Metacognitive and Psychometric Decision-Making Approaches for Bank Customer Loyalty Measurement," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 815-837, July.
    2. Paulo A. M. Barbosa & Plácido R. Pinheiro & Francisca R. V. Silveira & Marum Simão Filho, 2019. "Selection and Prioritization of Software Requirements Applying Verbal Decision Analysis," Complexity, Hindawi, vol. 2019, pages 1-20, August.

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