Skip to main content

Negotiation as Creative Social Interaction Using Concept Hierarchies

  • Conference paper
Computational Intelligence for Knowledge-Based Systems Design (IPMU 2010)

Abstract

Negotiation is a process that ranges from international issues to common society interactions. We present approaches to facilitate the process by exploring alternative spaces for this process. We base the approach on exploring alternative terminology that can resolve conflicts in the negotiation solution. Concept hierarchies can provide higher level concepts that can be used to obtain agreement between parties in the negotiation.

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 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. Ikle, F.: How Nations Negotiate. Evanston and London, New York (1964)

    Google Scholar 

  2. Han, J., Cai, Y., Cercone, N.: Knowledge discovery in databases: An attribute-oriented approach. In: Proceedings of 18th VLDB Conf., pp. 547–559 (1992)

    Google Scholar 

  3. Han, J.: Mining Knowledge at Multiple Concept Levels. In: Proc. 4th Int’l Conf. on Information and Knowledge Management, pp. 19–24. ACM Press, New York (1995)

    Google Scholar 

  4. Yager, R.: On linguistic summaries of data. In: Piatesky-Shapiro, G., Frawley (eds.) Knowledge Discovery in Databases, pp. 347–363. MIT Press, Boston (1999)

    Google Scholar 

  5. Kacprzyk, J.: Fuzzy logic for linguistic summarization of databases. In: Proc.8th Int’l Conf. on Fuzzy Systems, Seoul, Korea, pp. 813–818 (1999)

    Google Scholar 

  6. Dubois, D., Prade, H.: Fuzzy sets in data summaries - outline of a new approach. In: Proc. 8th Int’l Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Madrid, pp. 1035–1040 (2000)

    Google Scholar 

  7. Feng, L., Dillon, T.: Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses. IEEE Transactions on Knowledge and Data Engineering 15(1), 86–102 (2003)

    Article  Google Scholar 

  8. Lee, D., Kim, M.: Database summarization using fuzzy ISA hierarchies. IEEE Transactions On Systems, Man, and Cybernetics - part B 27(1), 68–78 (1997)

    Article  Google Scholar 

  9. Raschia, G., Mouaddib, N.: SAINTETIQ:a fuzzy set-based approach to database summarization. Fuzzy Sets and Systems 129, 37–162 (2002)

    Article  MathSciNet  Google Scholar 

  10. Angryk, R., Petry, F.: Data Mining Fuzzy Databases Using Attribute-Oriented Generalization. In: Proc.IEEE Int. Conf. Data Mining Workshop on Foundations and New Directions in Data Mining, Melbourne, FL, pp. 8–15 (2003)

    Google Scholar 

  11. Cubero, J., Medina, J., Pons, O., Vila, M.: Data Summarization in Relational Databases Through Fuzzy Dependencies. Information Sciences 121(3-4), 233–270 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  12. Petry, F., Zhao, L.: Data Mining by Attribute Generalization with Fuzzy Hierarchies in Fuzzy Databases. Fuzzy Sets and Systems 160 (#15), 2206–2223 (2009)

    Article  MathSciNet  Google Scholar 

  13. Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann, San Francisco (2006)

    Google Scholar 

  14. Boden, M.: The Creative Mind: Myths and Mechanisma. Weidenfield and Nicholson, London (1990)

    Google Scholar 

  15. Pease, A., Winterstein, D., Colton, S.: Evaluating Machine Creativiity. In: Proc. of ICCBR’01 – Workshop on Creative Systems, Vancouver, CA, pp. 56–61 (2001)

    Google Scholar 

  16. Ritchie, G.: Assessing Creativity. In: Proc. Of AISB ’01 Symp. on AI and Creativity in Arts and Science, pp. 3–11 (2001)

    Google Scholar 

  17. Northedge, F., Donelan, M.: International Disputes – the Political Aspects. St. Martin’s Press, New York (1971)

    Google Scholar 

  18. Zadeh, L.: Fuzzy logic = computing with words. IEEE Transactions on Fuzzy Systems 4, 103–111 (1996)

    Article  Google Scholar 

  19. Jackson, M.: Industrial Relations, 3rd edn. Croom Helm Ltd., Beckenham (1985)

    Google Scholar 

  20. Yager, R.: Some Measures Relating Partitions Useful for Computatuional Intelligence. Int. Jour. Computational Intelligence Systems 1(#1), 1–18 (2008)

    Google Scholar 

  21. Petry, F., Yager, R.: A Framework for Use of Imprecise Categorization in Developing Intelligent Systems. IEEE Transactions On Fuzzy Systems 18(#2), 348–361 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Petry, F.E., Yager, R.R. (2010). Negotiation as Creative Social Interaction Using Concept Hierarchies. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Computational Intelligence for Knowledge-Based Systems Design. IPMU 2010. Lecture Notes in Computer Science(), vol 6178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14049-5_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14049-5_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14048-8

  • Online ISBN: 978-3-642-14049-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics