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Towards a Framework for the Measurement and Reduction of User-Perceivable Complexity of Group Decision-Making Methods

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  • Andrej Bregar

    (Informatika d.d., Maribor, Slovenia)

Abstract

Methods for group decision analysis are based on various preference and aggregation models, and may exhibit a significant level of complexity that is perceived by decision-makers. It is therefore essential to apply appropriate methods and keep the complexity within controllable limits. In the paper, factors that influence the user-perceivable complexity are systematically specified, correlated and decomposed into measurable units. They address cognitive load, asynchronous interaction, autonomous guidance and conflict resolution, thoroughness and depth of analysis, problem structuring, efficiency of judgements, imprecision, psychophysical applicability, etc. In addition, several mechanisms and techniques to reduce complexity are presented, evaluated and systematized in accordance with the factors of the framework.

Suggested Citation

  • Andrej Bregar, 2014. "Towards a Framework for the Measurement and Reduction of User-Perceivable Complexity of Group Decision-Making Methods," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 6(2), pages 21-45, April.
    • Handle: RePEc:igg:jdsst0:v:6:y:2014:i:2:p:21-45
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijdsst.2014040102
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    Cited by:

    1. Przybyła-Kasperek, Małgorzata & Wakulicz-Deja, Alicja, 2016. "The strength of coalition in a dispersed decision support system with negotiations," European Journal of Operational Research, Elsevier, vol. 252(3), pages 947-968.

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