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Dynamical Models for Representing and Building Consensus in Committees

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Advanced Dynamic Modeling of Economic and Social Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 448))

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Abstract

When a committee of experts is formed with the aim to make a decision of social or economic relevance, the various competencies act in order to produce an equilibrium among the features that characterize the alternatives or the objectives, that constitute the choice that the committee is called to make. It is worth to remark that, in some circumstances, the committee behave as a unique body, whose organs, the experts, share the same opinions and select the same choice. When this occurs, the committee has reached unanimous consensus.

More frequently only a majority of the experts agree about a final choice and circumscribe a precise decision to make. Also in this case we speak of consensus reached by, or inside, the committee.

The mechanisms for enhancing, and possibly, reaching consensus are here studied by means of the definition of dynamical models, geometric and game theoretical in nature.

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References

  1. Aczél, J.: A short course on functional equations. D. Reidel Publishing Co., Dordrecht (1987)

    Book  MATH  Google Scholar 

  2. Bana e Costa, C.A., Vasnik, J.C.: The MACBET approach: basic ideas, software and an application. In: Meskens, N., Roubens, M. (eds.) Advances in Decision Analysis, pp. 131–157. Kluwer Academic Publishers, Dordrecht (1999)

    Google Scholar 

  3. Carlsson, C., Ehrenberg, D., Eklund, P., Fedrizzi, M., Gustafsson, P., Lindholm, P., Merkurieva, G., Riissanen, T., Ventre, A.G.S.: Consensus in distributed soft environments. European Journal of Operational Research 61, 165–185 (1992)

    Article  Google Scholar 

  4. Maturo, A., Ventre, A.G.S.: Models for Consensus in Multiperson Decision Making. In: NAFIPS 2008 Conference Proceedings. IEEE Press, New York (2008)

    Google Scholar 

  5. Maturo, A., Ventre, A.G.S.: Aggregation and consensus in multiobjective and multiperson decision making. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17(4), 491–499 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  6. Dalkey, N.C.: Delphi. Rand Corporation, New York (1967)

    Google Scholar 

  7. Dalkey, N.C., Helmer, O.: An Experimental Application of the Delphi Method to the Use of Experts. Management Science 9(3), 458–467 (1963)

    Article  Google Scholar 

  8. Delbecq, A.L., Van de Van, A.H., Gustafson, D.H.: Group Techniques for Program Planning: a Guide to Nominal Group and Delphi Process. Scott Foresman, Glenview (1975)

    Google Scholar 

  9. Ehrenberg, D., Eklund, P., Fedrizzi, M., Ventre, A.G.S.: Consensus in distributed soft environments. Reports in Computer Science and Mathematics, Ser. A, vol. 88. Åbo Akademi (1989)

    Google Scholar 

  10. Eklund, P., Rusinowska, A., De Swart, H.: Consensus reaching in committees. European Journal of Operational Research 178, 185–193 (2007)

    Article  MATH  Google Scholar 

  11. Herrera-Viedma, E., Alonso, S., Chiclana, F., Herrera, F.: A Consensus Model for Group Decision Making with Incomplete Fuzzy Preference Relations. IEEE Transactions on Fuzzy Systems 15(5), 863–877 (2007)

    Article  Google Scholar 

  12. Kim, K.H., Roush, F.W.: Introduction to Mathematical Consensus Theory. Marcel Dekker, New York (1980)

    MATH  Google Scholar 

  13. Linstone, H.A., Turoff, M.: The Delphi Method: Techniques and Applications. Addison-Wesley, Boston (1975)

    MATH  Google Scholar 

  14. Luce, R.D., Raiffa, H.: Games and Decisions. John Wiley, New York (1957)

    MATH  Google Scholar 

  15. Mares, M.: Fuzzy Cooperative Games. Springer, New York (2001)

    MATH  Google Scholar 

  16. Merton, R.K.: The Focussed Interview and Focus Group: Continuities and Discontinuities. Public Opinion Quarterly, VI 4, 550–566 (1987)

    Article  Google Scholar 

  17. Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  18. Shapley, L.S.: Simple games. An outline of the theory. Behavioral Sciences 7, 59–66 (1962)

    Article  MathSciNet  Google Scholar 

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Correspondence to Antonio Maturo .

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Maturo, A., Squillante, M., Ventre, A.G.S. (2013). Dynamical Models for Representing and Building Consensus in Committees. In: Proto, A., Squillante, M., Kacprzyk, J. (eds) Advanced Dynamic Modeling of Economic and Social Systems. Studies in Computational Intelligence, vol 448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32903-6_2

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  • DOI: https://doi.org/10.1007/978-3-642-32903-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32902-9

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