Skip to main content
Springer Nature Link
Log in

An Adaptive Module for the Consensus Reaching Process in Group Decision Making Problems

  • Conference paper
Modeling Decisions for Artificial Intelligence (MDAI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3558))

Abstract

In the group decision making (GDM) framework we deal with decision problems where several decision makers try to achieve a common solution about a problem. In the literature, we can find two processes to carry out before obtaining a final solution: the consensus process and the selection one. The consensus process is a discussion process where the experts change their opinions in order to achieve a high agreement. The selection process searches the solution.

The consensus reaching process is a very important task for GDM problems regarding the necessity that the solution achieved will be assumed and shared by all experts involved in the GDM problem. It consists of several consensus rounds where the experts discuss and change their opinions in order to improve the level of agreement among them.

In this paper, we propose an optimization of the consensus reaching process in GDM problems by means of an adaptive module that applies different procedures to identify the experts’ opinions that should be changed according to the level of agreement in each consensus round. Usually at the beginning the agreement is low, so the adaptive module will suggest to many experts to change their opinions. However, after several rounds, the agreement will be higher and hence the number of the changes will be smaller.

This work has been partially supported by the Research Project TIC2002-03348.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bryson, N.: Group decision-making and the analytic hierarchy process: exploring the consensus-relevant information content. Computers and Operational Research 23, 27–35 (1996)

    Article  MATH  Google Scholar 

  2. Kuncheva, L.I.: Five measures of consensus in group decision making using fuzzy sets. In: Proceedings of IFSA, pp. 141–144 (1991)

    Google Scholar 

  3. Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: Linguistic Measures Based on Fuzzy Coincidence for Reaching Consensus in Group Decision Making. Int. J. of Approximate Reasoning, 309–334 (1997)

    Google Scholar 

  4. Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: A rational consensus model in group decision making under linguistic assessments. Fuzzy Sets and Systems 88, 31–49 (1997)

    Article  Google Scholar 

  5. 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, 394–402 (2002)

    Article  Google Scholar 

  6. Herrera-Viedma, E., Mata, F., Martínez, L., Chiclana, F., Pérez, L.G.: Measurements of Consensus in Multi-granular Linguistic Group Decision Making. In: Torra, V., Narukawa, Y. (eds.) MDAI 2004. LNCS (LNAI), vol. 3131, pp. 194–204. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. Herrera-Viedma, E., Martínez, L., Mata, F., Chiclana, F.: A Consensus Support System Model for Group Decision-making Problems with Multi-granular Linguistic Preference Relations. IEEE Transactions on Fuzzy Systems (2004) (in press)

    Google Scholar 

  8. Kacprzyk, J., Fedrizzi, M., Nurmi, H.: Group decision making and consensus under fuzzy preferences and fuzzy majority. Fuzzy Sets and Systems 49, 21–31 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  9. Karacapilidis, N.I., Pappis, C.P.: A framework for group decision making support systems: Combining AI tools and OR thecniques. European Journal of Operational Research 103, 373–388 (1997)

    Article  MATH  Google Scholar 

  10. Marakas, G.H.: Decision support systems in the 21th century, 2nd edn. Pearson Education, Inc., New Jersey (2003)

    Google Scholar 

  11. Saint, S., Lawson, J.R.: Rules for Reaching Consensus. In: A Modern Approach to Decision Making, Jossey-Bass, San Francisco (1994)

    Google Scholar 

  12. Salo, A.A.: Interactive decision aiding for group decision support. European Journal of Operational Research 84, 134–149 (1995)

    Article  MATH  Google Scholar 

  13. Torra, V., Cortes, U.: Towards an automatic consensus generator tool: EGAC. IEEE Transactions on Systems, Man and Cybernetics 25, 888–894 (1995)

    Article  Google Scholar 

  14. Zadrozny, S.: An Approach to the Consensus Reaching Support in Fuzzy Environment. In: Kacprzyk, J., Nurmi, H., Fedrizzi, M. (eds.) Consensus under Fuzziness, pp. 83–109. Kluwer Academic Publishers, Boston (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Computer Science and A.I., University of Granada, 18071, Granada, Spain

    Enrique Herrera-Viedma

  2. Dept. of Computer Science, University of Jaén, 23071, Jaén, Spain

    Francisco Mata, Luis Martínez & Luis G. Pérez

Authors
  1. Enrique Herrera-Viedma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Francisco Mata
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Luis Martínez
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Luis G. Pérez
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. IIIA, Artificial Intelligence Research Institute CSIC, Spanish National Research Council, Campus UAB s/n, 08193, Bellaterra, Catalonia, Spain

    Vicenç Torra

  2. Toho Gakuen, 3-1-10 Naka, Kunitachi, 186-0004, Tokyo, Japan

    Yasuo Narukawa

  3. Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba, 305-8573, Ibaraki, Japan

    Sadaaki Miyamoto

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Herrera-Viedma, E., Mata, F., Martínez, L., Pérez, L.G. (2005). An Adaptive Module for the Consensus Reaching Process in Group Decision Making Problems. In: Torra, V., Narukawa, Y., Miyamoto, S. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2005. Lecture Notes in Computer Science(), vol 3558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526018_10

Download citation

  • DOI: https://doi.org/10.1007/11526018_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27871-9

  • Online ISBN: 978-3-540-31883-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation