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Approaches to assess the group consensus in Yes-or-No type experts' group decision making

Author

Listed:
  • Shady ALY

    (Department of Information Engineering, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic)

  • Ivan VRANA

    (Department of Information Engineering, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic)

Abstract

Group consensus indicators provide an important insight and information about how to combine a group of expert judgments. This paper is concerned with the development of a set of indicators to be used in analyzing the group consensus in evaluating Yes-or-No type's decision problems. The opinions of the experts are in the form of a real number between 0 and 10 expressing the degree of answers Yes or No (0 for sharp No and 10 for sharp Yes). Two methods for obtaining the consensus indicators are developed. The first of them is based on configuring the one previously developed by (Ngwenyama et al. 1996), which is reviewed in this paper. The other one is an improved one that does not rely on the existence of the known or desired similarity significance levels or thresholds. A new measure of consensus is introduced, the standard deviation. An experiment is conducted to get acquainted with the relationship between the standard deviation of group decisions and one of the developed group consensus indicators, which measures the agreement level within the group of decisions. This research is intended to develop more consistent indicators and measures group consensus and position of each individual relative to others for Yes-or-No type group decisions. This is aimed at the exploitation of such important and relevant consensus information for developing a new consensus-based heuristic algorithm to combine the multiple experts' judgments or to be able to select the adequate combining criteria. Finally, the presented approach could be usefully utilized in critical "Yes - or - No" GDM problems in business and industry.

Suggested Citation

  • Shady ALY & Ivan VRANA, 2010. "Approaches to assess the group consensus in Yes-or-No type experts' group decision making," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(4), pages 192-199.
    • Handle: RePEc:caa:jnlage:v:56:y:2010:i:4:id:97-2009-agricecon
    DOI: 10.17221/97/2009-AGRICECON
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    Cited by:

    1. Shady ALY & Ivan VRANA, 2011. "Combining the crisp outputs of multiple fuzzy expert systems using the MPDI along with the AHP," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(5), pages 217-225.

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