Advertisement

COMAS: A Multi-agent System for Performing Consensus Processes

  • Iván Palomares
  • Pedro J. Sánchez
  • Francisco J. Quesada
  • Francisco Mata
  • Luis Martínez
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 91)

Abstract

The need for achieving consensus in group decision making problems is a common and sometimes necessary task in a myriad of social and business environments. Different consensus reaching processes have been proposed in the literature to achieve agreement among a group of experts. Initially, such processes were guided by a human moderator, but afterwards, some proposals to facilitate such a process arose by automating the moderator tasks. However, not many consensus support systems have been developed so far, due to the difficulty to manage intelligent tasks and cope with the negotiation process involved in consensus. This paper aims to present an initial prototype of an automatic consensus support system, developed by using the multi-agent paradigm that provides intelligent tools and capacities to tackle the inherent complexity found in this problem. To do so, we focus on the consensus model considered, the multi-agent architecture designed to develop such a system, and the ontology used for reasoning and communication tasks.

Keywords

Group Decision Consensus Model Consensus Process Consensus Problem Interface Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Aldea, A., Bañares-Alcántara, R., Jiménez, L., Moreno, A., Martínez-Miranda, J., Riaño, D.: The scope of application of multi-agent Systems in the process industry: three case studies. Expert Systems with Applications 26(1), 39–47 (2004)CrossRefGoogle Scholar
  2. 2.
    Alonso, S., Herrera-Viedma, E., Chiclana, F., Herrera, F.: Individual and social strategies to deal with ignorance situations in group decision making. International Journal of Information Technology and Decision Making 8(2), 313–333 (2009)CrossRefzbMATHMathSciNetGoogle Scholar
  3. 3.
    Ben-Arieh, D., Chen, Z.: Linguistic labels aggregation and consensus measure for automatic decision-making using group recommendations. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 36(1), 558–568 (2006)CrossRefGoogle Scholar
  4. 4.
    Ben-Arieh, D., Easton, T., Evans, B.: Minimum cost consensus with quadratic cost functions. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 39(1), 210–217 (2009)CrossRefGoogle Scholar
  5. 5.
    Cabrerizo, F.J., Pérez, I.J., Herrera-Viedma, E.: Managing the consensus in Group decision making in an unbalanced fuzzy linguistic context incomplete information. Knowledge-Based Systems 23, 169–181 (2010)CrossRefGoogle Scholar
  6. 6.
    Fedrizzi, M., Fedrizzi, M., Pereira, R.A.M.: Soft consensus and network dynamics in group decision-making. International Journal of Intelligent Systems 14(1), 63–77 (1999)CrossRefzbMATHGoogle Scholar
  7. 7.
    García-Sánchez, F., Valencia, R., Martínez, R., Fernández, J.T.: An ontology, intelligent agent-based framework for the provision of semantic web services. Expert Systems with Applications 36(1), 3167–3187 (2009)CrossRefGoogle Scholar
  8. 8.
    Gnansounou, E., Pierre, S., Quintero, A., Dong, J., Lahlou, A.: A multi-agent approach for planing activities in decentralized electricity markets. Knowledge-Based Systems 20(4), 406–418 (2007)CrossRefGoogle Scholar
  9. 9.
    Herrera, F., Herrera-Viedma, E., Verdegay, J.: A sequential selection process in group decision making with linguistic assessments. Information Sciences 85, 223–239 (1995)CrossRefzbMATHGoogle Scholar
  10. 10.
    Herrera-Viedma, E., Herrera, F., Chiclana, F.: A Consensus Model for Multiperson Decision Making with different Preference Structures. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 32(3), 394–402 (2002)CrossRefGoogle Scholar
  11. 11.
    Herrera-Viedma, E., Martínez, L., Mata, F., Chiclana, F.: A consensus support system model for Group decision-making problems with multigranular linguistic preferente relations. IEEE Transactions on Fuzzy Systems 13(5), 644–658 (2005)CrossRefGoogle Scholar
  12. 12.
    Kacprzyk, J., Nurmi, H., Fedrizzi, M.: Consensus under Fuziness. International Series in Intelligent Technologies, vol. 10. Springer, Heidelberg (1997)Google Scholar
  13. 13.
    Kacprzyk, J., Zadrozny, S.: On a concept of a consensus reaching process support system based on the use of soft computing and web techniques. Computational Intelligence in Decision and Control 1, 859–864 (2008)CrossRefGoogle Scholar
  14. 14.
    Kacprzyk, J., Zadrozny, S.: Soft computing and web intelligence for supporting consensus reaching. Soft Computing 14(8), 833–846 (2010)CrossRefGoogle Scholar
  15. 15.
    Martínez, L., Montero, J.: Challenges for Improving Consensus Reaching Process in Collective Decisions. New Mathematics and Natural Computation 3(2), 203–217 (2007)CrossRefzbMATHGoogle Scholar
  16. 16.
    Mata, F., Martínez, L., Herrera-Viedma, E.: An adaptive consensus support system model for Group decision-making problems in a multigranular fuzzy linguistic context. IEEE Transactions on Fuzzy Systems 17(2), 279–290 (2009)CrossRefGoogle Scholar
  17. 17.
    Mata, F., Sánchez, P.J., Palomares, I., Quesada, F.J., Martínez, L.: COMAS: A Consensus Multi-Agent based System. In: Proceedings of the International Conference on Intelligent Systems Design and Applications (ISDA 2010), pp. 457–462 (2010)Google Scholar
  18. 18.
    Roubens, M.: Fuzzy Sets and decision analysis. Fuzzy sets and Systems 90(2), 199–206 (1997)CrossRefzbMATHMathSciNetGoogle Scholar
  19. 19.
    Saint, S., Lawson, J.R.: Rules for Reaching Consensus. A modern approach to decision making. Jossey-Bass, San Francisco (1994)Google Scholar
  20. 20.
    Staab, S., Studer, R.: Handbook on Ontologies. International Handbooks on Information Systems. Springer, Heidelberg (2005)Google Scholar
  21. 21.
    Wang, S., Shen, W., Hao, Q.: An agent-based web service workflow model for inter-enterprise collaboration. Expert Systems with Applications 31(4), 787–799 (2006)CrossRefGoogle Scholar
  22. 22.
    Yager, R.R.: Applications and extensions of OWA aggregations. International Journal on Man-Machine Studies 27(1), 103–132 (1992)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Iván Palomares
    • 1
  • Pedro J. Sánchez
    • 1
  • Francisco J. Quesada
    • 1
  • Francisco Mata
    • 1
  • Luis Martínez
    • 1
  1. 1.Computer Science DepartmentUniversity of JaénSpain

Personalised recommendations