Skip to main content

A Group Decision Support System Based on Linguistic Multicriteria Assessments

  • Chapter
Technologies for Constructing Intelligent Systems 1

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 89))

Abstract

A group decision support system is presented. The main concern is an effective support for the consensus reaching process. The point of departure are linguistic assessments of options with respect to multiple criteria. These are processed to obtain individual and group preference structures as well as an assessment of the consensus in the group. A pilot implementation of the system in the WWW environment is presented.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barrett CR, Pattanaik PK and M. Salles, “On choosing rationally when preferences are fuzzy”, Fuzzy Sets and Systems 1990; 34: 197–212.

    Article  MathSciNet  MATH  Google Scholar 

  2. DeSanctis G., Gallupe R.B., “A foundation for the study of group decision support systems”, Management Sciences 33, 1987.

    Google Scholar 

  3. Fedrizzi M., Kacprzyk J., Owsitński J.W. and S. Zadrożny, “Consensus reaching via a GDSS with fuzzy majority and clustering of preference profiles”, Annals of Operations Research 1994; 51: 127–139.

    Article  MATH  Google Scholar 

  4. Fedrizzi M, Kacprzyk J and S. Zadrożny, “An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers”, Decision Support Systems 1988; 4: 313–327.

    Article  Google Scholar 

  5. Freyenfeld W.A, Decision Support Systems, NCC Publications, Manchester, England, 1984.

    Google Scholar 

  6. Huber G., Issues in the design of GDSS. Management Information Systems Quarterly 7, 1984, 195–204.

    Article  Google Scholar 

  7. Kacprzyk J and M. Fedrizzi, “A ‘soft’ measure of consensus in the setting of partial (fuzzy) preferences”, European Journal of Operational Research 1988; 34: 316–325.

    Article  MathSciNet  Google Scholar 

  8. Kitainik L., “Fuzzy Decision Procedures with Binary Relations: Towards a Unified Theory”, Kluwer Academic Publishers, Boston/Dordrecht/London, 1993.

    Book  MATH  Google Scholar 

  9. Liu Y. And E.E. Kerre, “An overview of fuzzy quantifiers. (I). Interpretations”, Fuzzy Sets and Systems 95, 1998, 1–21.

    Article  MathSciNet  MATH  Google Scholar 

  10. Nurmi H., “Approaches to collective decision making with fuzzy preference relations”. Fuzzy Sets and Systems 6, 1981, 249–259.

    Article  MathSciNet  MATH  Google Scholar 

  11. Nurmi H. and J. Kacprzyk, “On fuzzy tournaments and their solution concepts in group decision making”, EJOR 51, 1991, 223–232.

    Article  MATH  Google Scholar 

  12. Orlovsky S.A.: “Decision-making with a fuzzy preference relation”, Fuzzy Sets and Systems 1, 1978, 155–167.

    Article  MathSciNet  MATH  Google Scholar 

  13. Ovchinnikov S.V. and V.M. Ozernoy, “Identifying noninferior decision alternatives based on fuzzy binary relations”, in: J. Kacprzyk and M. Roubens (Eds.): Non-Conventional Preference Relations in Decision Making. Springer Verlag, Berlin, 1988, 82–95.

    Google Scholar 

  14. Świtalski Z., “Choice functions associated with fuzzy preference relations.”, in: J. Kacprzyk and M. Roubens (Eds.): Non - conventional Preference Relations in Decision Making, Berlin: Springer-Verlag, 1988.

    Google Scholar 

  15. Ovchinnikov S., “Modelling valued preference relations”, in J. Kacprzyk and M. Fedrizzi (Eds.): Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory, Kluwer Academic Publishers, 1990, 64–70.

    Google Scholar 

  16. Van de Walle B., B. De Baets and E. Kerre, “A plea for the use of Lukasiewicz triplets in fuzzy preference structures. Part 1: General argumentation”, Fuzzy Sets and Systems 97, 1998, 349–359.

    Article  MathSciNet  MATH  Google Scholar 

  17. Zadrozny S, “An approach to the consensus reaching support in fuzzy environment”, in J. Kacprzyk, H. Nurmi and M. Fedrizzi (Eds.): Consensus under Fuzziness. Kluwer, Boston, 1996

    Google Scholar 

  18. Zadeh LA., “A computational approach to fuzzy quantifiers in natural languages” Comp. and Maths. with Appls. 1983; 9: 149–184.

    MathSciNet  MATH  Google Scholar 

  19. Zadeh LA., “A computational theory of dispositions”, International Journal of Intelligent Systems 1987; 2: 39–64.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kacprzyk, J., Zadrozny, S. (2002). A Group Decision Support System Based on Linguistic Multicriteria Assessments. In: Bouchon-Meunier, B., Gutiérrez-Ríos, J., Magdalena, L., Yager, R.R. (eds) Technologies for Constructing Intelligent Systems 1. Studies in Fuzziness and Soft Computing, vol 89. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1797-3_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-7908-1797-3_11

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-00329-9

  • Online ISBN: 978-3-7908-1797-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics