Skip to main content
SpringerLink
Log in

Consensus versus Conflicts — Methodology and Applications

  • Conference paper
  • First Online:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2639))

Abstract

This paper is dedicated to applications of consensus methods in solving conflicts defined by Pawlak [12, 13]. The most characteristic feature of consensus methods surveyed in this paper is that the structures of opinions of conflict participants are multi-value and multi-attribute and the basis of consensus determining consists of distance functions between tuples. In this work an overview of consensus methods and their applications in the scope of conflict solving is presented.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Arrow K.J.: Social Choice and Individual Values. Wiley New York (1963).

    Google Scholar 

  2. Barthelemy J.P., Janowitz M.F.: A Formal Theory of Consensus. SIAM J. Discrete Math. 4 (1991) 305–322.

    Article  MATH  MathSciNet  Google Scholar 

  3. Barthelemy J.P., Leclerc B.: The Median Procedure for Partitions, DIMACS Series in Discrete Mathematics and Theoretical Computer Science 19 (1995) 3–33.

    MathSciNet  Google Scholar 

  4. Coulouris G, Dollimore J., Kindberg T.: Distributed Systems, Concepts and Design. Addison-Wesley (1996).

    Google Scholar 

  5. Day W.H.E.: Consensus Methods as Tools for Data Analysis. In: Bock, H.H. (ed.): Classification and Related Methods for Data Analysis. North-Holland (1988) 312–324.

    Google Scholar 

  6. Fishburn P.C.: Condorcet Social Choice Functions. SIAM J. App. Math. 33 (1977) 469–489.

    Article  MATH  MathSciNet  Google Scholar 

  7. McMorris F.R., Powers R.C., The Median Function on Weak Hierarchies. DIMACS Series in Discrete Mathematics and Theoretical Computer Science 37 (1997) 265–269.

    MathSciNet  Google Scholar 

  8. Nguyen N.T.: Using Distance Functions to Solve Representation Choice Problems. Fundamenta Informaticae 48(4) (2001) 295–314.

    MathSciNet  Google Scholar 

  9. Nguyen, N.T.: Consensus Choice Methods and their Application to Solving Conflicts in Distributed Systems. Wroclaw University of Technology Press (2002) (in Polish).

    Google Scholar 

  10. Nguyen, N.T.: Consensus System for Solving Conflicts in Distributed Systems. Journal of Information Sciences 147 (2002) 91–122.

    Article  MATH  Google Scholar 

  11. Nguyen N.T., Sobecki J. (2003): Using Consensus Methods to Construct Adaptive Interfaces in Multimodal Web-based Systems. To appear in: Journal of Universal Access in the Information Society 2(4), Springer-Verlag.

    Google Scholar 

  12. Pawlak Z.: An Inquiry into Anatomy of Conflicts. Journal of Information Sciences 108 (1998) 65–78.

    Article  MathSciNet  Google Scholar 

  13. Pawlak Z.: Anatomy of conflicts, Bull. EATCS 50 (1993) 234–246.

    MATH  Google Scholar 

  14. Skowron A., Rauszer C., The Discernibility Matrices and Functions in Information Systems. In: E. Sowiñski (Ed.), Intelligent Decision Support, Handbook of Applications and Advances of the Rough Sets Theory, Kluwer Academic Publishers (1992) 331–362.

    Google Scholar 

  15. Young H.P., Levenglick A.: A Consistent Extension of Condorcet’s Election Principle. SIAM J App. Math. 35 (1978) 285–300.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Systems, Wroclaw University of Technology, Poland

    Ngoc Thanh Nguyen & Janusz Sobecki

Authors
  1. Ngoc Thanh Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Janusz Sobecki
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China

    Guoyin Wang

  2. Department of Computer Science, Nanchang University, Nanchang, 330029, P.R. China

    Qing Liu

  3. Department of Computer Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada

    Yiyu Yao

  4. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nguyen, N.T., Sobecki, J. (2003). Consensus versus Conflicts — Methodology and Applications. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_92

Download citation

  • DOI: https://doi.org/10.1007/3-540-39205-X_92

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14040-5

  • Online ISBN: 978-3-540-39205-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation