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Influence model of evasive decision makers

Author

Listed:
  • Khalid, Asma
  • Beg, Ismat

Abstract

The aim of this paper is to introduce the notion of truthfulness in an influence based decision making model. An expert may submit his opinions truthfully or he may dismantle the original situation by undermining the actual opinion, such a decision maker is called an evasive decision maker or an almost truthful decision maker in this paper. It is assumed that experts in the panel are dignified members hence even though they are not habitual liars, they are either "almost truthful" or evasive. To measure their degree of truthfulness, we use the information provided by them in the form of preference relations. We use this information to state the foundation of influence model of evasive decision makers. Finally, a ranking method is proposed to find best possible solutions.

Suggested Citation

  • Khalid, Asma & Beg, Ismat, 2018. "Influence model of evasive decision makers," MPRA Paper 95493, University Library of Munich, Germany, revised 15 Jun 2019.
    • Handle: RePEc:pra:mprapa:95493
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    References listed on IDEAS

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    1. Bowen Zhang & Yucheng Dong & Enrique Herrera-Viedma, 2019. "Group Decision Making with Heterogeneous Preference Structures: An Automatic Mechanism to Support Consensus Reaching," Group Decision and Negotiation, Springer, vol. 28(3), pages 585-617, June.
    2. Zhang, Hengjie & Dong, Yucheng & Chiclana, Francisco & Yu, Shui, 2019. "Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design," European Journal of Operational Research, Elsevier, vol. 275(2), pages 580-598.
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    Cited by:

    1. Asma Mahmood & Mohsan Raza, 2021. "Observation of a Change in Human Attitude in a Decision Making Process Equipped with an Interference of a Third Party," Mathematics, MDPI, vol. 9(21), pages 1-14, November.

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    Keywords

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    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D7 - Microeconomics - - Analysis of Collective Decision-Making

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