Skip to main content

A Reliable System Platform for Group Decision Support under Uncertain Environments

  • Conference paper
  • First Online:
Reliable Knowledge Discovery

Abstract

This chapter proposes a framework of Uncertainty-based Group Decision Support System (UGDSS). It provides a platform for multiple processes of decision analysis in six aspects including decision environment, decision problem, decision group, decision conflict, decision schemes and group negotiation. Based on knowledge engineering and multiple artificial intelligent technologies, this framework provides reliable support for the comprehensive manipulation of real applications and advanced uncertainty decision approaches through the design of an integrated multiagents architecture.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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. Atanassov, K: Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20, pp. 87-96 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  2. Atanassov, K.: Operators over interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 74, pp. 237-244 (1994)

    Google Scholar 

  3. Atanassov, K., Gargov, G.: Interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 31, pp. 343-349 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  4. Baucells, M., Heukamp, F.H.: Stochastic dominance and cumulative prospect theory. Decision Analysis, 52, pp. 1409-1423 (2006)

    Google Scholar 

  5. Bermudez, C., Graglia, P., Stark, N., Salto, C., Alfonso, H.: Comparison of recombination operators in panmictic and cellular GAs to solve a vehicle routing problem. Inteligencia Artificial, 14, pp. 34-44 (2010)

    Article  Google Scholar 

  6. Bernoulli, D.: Exposition of a new theory on the measurement of risk. Econometrica, 22, pp. 23-36 (1954)

    Article  MathSciNet  MATH  Google Scholar 

  7. Bildirici, M., Ersin, O.O.: Improving forecasts of GARCH family models with the artificial neural networks: An application to the daily returns in istanbul stock exchange. Expert Systems with Applications, 36, pp. 7355-7362 (2009)

    Article  Google Scholar 

  8. Blackwell, D., Girshick, M.A.: Theory of Games and Statistical Decisions. New York: Wiley (1954)

    MATH  Google Scholar 

  9. Brans, J.P., Vincke, Ph., Mareschal, B.: How to select and how to rank projects: The PROMETHEE method. European Journal of Operational Research, 24, pp. 228-238 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  10. Chai, J.Y., Liu, J.N.K.: A novel multicriteria group decision making approach with intuitionistic fuzzy SIR method. Paper presented at the 2010World Automation Congress,WAC 2010, Kobe, Japan, September (2010)

    Google Scholar 

  11. Chai, J.Y., Liu, J.N.K.: An ontology-driven framework for supporting complex decision process. Paper presented at the 2010 World Automation Congress, WAC 2010, Kobe, Japan, September (2010)

    Google Scholar 

  12. Charnes, A., Cooper, W.W.: Management Models and Industrial Applications of Linear Programming. New York: John Wiley and Sons (1961)

    MATH  Google Scholar 

  13. Chen, L., Luh, C., Jou, C.: Generating page clippings from web search results using a dynamically terminated genetic algorithm. Information Systems, 30, pp. 299-316 (2005)

    Article  Google Scholar 

  14. Clemem, R.T., Winkler, R.L.: Combining probability distributions from experts in risk analysis. Risk Analysis, 19, pp. 187-203 (1999)

    Google Scholar 

  15. Cochrane, J.L., Zeleny, M.: Multiple Criteria Decision Making. University of South Carolina Press (1973)

    Google Scholar 

  16. Fishburn, P.C.: Lexicographic orders, utilities and decision rules: A survey. Management Science, 20, pp. 1442-1471 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  17. Greco, S., Matarazzo, B., Slowinski, R.: Rough sets theory for multicriteria decision analysis. European Journal of Operational Research, 129, pp. 1-47 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  18. Holsapple, C., Jones, K.: Exploring Primary Activities of the Knowledge Chain. Knowledge Process Management, 11, pp. 155C174 (2004)

    Google Scholar 

  19. Howard, R.A.: Decision analysis: applied decision theory. Proceeding in the 4th International Conference of Operational Research, New York: Wiley-Interscience (1966)

    Google Scholar 

  20. Huaser, D., Tadikamalla, P.: The Analytic hierarchy process in an uncertain environment: A simulation approach: European Journal of Operational Research, 91, pp. 27-37 (1996)

    Google Scholar 

  21. Huber, G.P.: Methods for quantifying subjective probabilities and multi-attribute utilities. Decision Science, 5, pp. 430-45 (1974)

    Article  Google Scholar 

  22. Hugonnard, J., Roy, B.: Ranking of suburban line extension projects for the Paris metro system by a multicriteria method. Transportation Research, 16, pp. 301-312 (1982)

    Article  Google Scholar 

  23. Jacquet-Lagreze, E., Siskos, Y.: Assessing a set of additive utility functions for multicriteria decision-making: the UTA Methods. European Journal of operational research, 10, pp. 151-164 (1982)

    Article  MATH  Google Scholar 

  24. Keeney, R.L., Raiffa, H.: Decisions with Multiple Objectives: Preferences and Value Tradeoffs, New York: Wiley (1976)

    Google Scholar 

  25. Koopmas, T.: Analysis of Production as an Effect Combination of Activities. New York: John Wiley and Sons (1951)

    Google Scholar 

  26. Kuhn, H., Tucker, A.: Nonlinear programming. University of California Press, pp. 481-492 (1951)

    Google Scholar 

  27. Pawlak, Z. Rough Sets: Theoretical Aspects of Reasoning about Data. Dordrecht: Kluwer Academic Publishers (1991)

    MATH  Google Scholar 

  28. Pawlak, Z., Skowron, A.: Rudiments of rough sets. Information Sciences, 177, pp. 3-27 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  29. Roy, B.: Classement et choix en presence de point de vue multiples: Le methode electre. Revue Francaise dInformatique et de Recherche Operationnelle, 8, pp. 57-75 (1968)

    Google Scholar 

  30. Roy, B.: Partial preference analysis and decision aids: The fuzzy outranking relations concept. Conflicting Objectives In Decisions, D. E. Bell, R. L. Keeney, H. Raiffa, Eds., New York: Wiley (1977)

    Google Scholar 

  31. Savage, L.J.: The Foundations of Statistics. New York: John Wiley and Sons (1954)

    MATH  Google Scholar 

  32. Slowinski, R.: Intelligent Decision Support: Handbook of Applications and Advances of Rough Sets theory. Dordrecht: Kluwer Academic Publisher (1992)

    MATH  Google Scholar 

  33. Turban, E., Aronson, J.E., Liang, T.P.: Decision Support Systems and Intelligent Systems, 7th edition. Prentice Hall (2005)

    Google Scholar 

  34. Von Neumann, J., Morgenstern, O.: Theory of Games and Economic Behavior. Princeton University Press (1944)

    Google Scholar 

  35. Wald, A.: Statistical Decision Functions. New York: John Wiley and Sons (1950)

    MATH  Google Scholar 

  36. Xu, X.Z.: The SIR method: A superiority and inferiority ranking method for multiple criteria decision making. European Journal of Operational Research, 131, pp. 587-602 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  37. Xu, Z.S.: Intuitionistic preference relations and their application in group decision making. Information Sciences, 177, pp. 2363-2379 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  38. Zadeh, L.A.: Fuzzy Sets. Information and Control, 8, pp. 338-353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  39. Zadeh, L.A.: Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1, pp. 3-28 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  40. Zopounidis, C., Doumpos, M.: Business failure prediction using UTADIS multicriteria analysis. Journal of the Operational Research Society, 50, pp. 1138-1148 (1999)

    MATH  Google Scholar 

  41. Zopounidis, C., Doumpos, M.: Building additive utilities for multi-group hierarchical discrimination: the M.H.DIS method. Optimization Methods and Software, 14, pp. 219-240 (2000)

    Google Scholar 

  42. Ontobroker. Avaliable via DIALOG. http://www.ontoprise.de/deutsch/start/produkte/ontobroker/

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Junyi Chai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this paper

Cite this paper

Chai, J., Liu, J.N.K. (2012). A Reliable System Platform for Group Decision Support under Uncertain Environments. In: Dai, H., Liu, J., Smirnov, E. (eds) Reliable Knowledge Discovery. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1903-7_17

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-1903-7_17

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4614-1902-0

  • Online ISBN: 978-1-4614-1903-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics