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On the Applicability of Multi-criteria Decision Making Techniques in Fuzzy Querying

  • Guy De Tré
  • Jozo Dujmović
  • Antoon Bronselaer
  • Tom Matthé
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 297)

Abstract

Multi-criteria decision making has a lot of things in common with database querying. In this paper we study and compare the logic scoring of preference (LSP) soft computing technique for multi-criteria decision support and of the handling of selection criteria in ‘fuzzy’ querying of regular relational databases. Furthermore, we investigate the need for more advanced aggregation techniques in fuzzy query criteria evaluations and show how LSP aggregation operators can help relieving this need. As an illustration the case of combining mandatory and desired criteria has been studied.

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References

  1. 1.
    Belton, V., Stewart, T.J.: Multiple Criteria Decision Analysis. Kluwer Academic Publishers, Boston (2002)Google Scholar
  2. 2.
    Bosc, P., Lietard, L., Pivert, O.: Sugeno fuzzy integral as a basis for the interpretation of flexible queries involving monotonic aggregates. Information Processing and Management 39(2), 287–306 (2003)zbMATHCrossRefGoogle Scholar
  3. 3.
    Bosc, P., Kraft, D., Petry, F.E.: Fuzzy sets in database and information systems: status and opportunities. Fuzzy Sets and Systems 153(3), 418–426 (2005)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Bosc, P., Pivert, O.: On Three Fuzzy Connectives for Flexible Data Retrieval and their Axiomatization. In: Proc. of SAC 2011 Conference, Taiwan, pp. 1114–1118 (2011)Google Scholar
  5. 5.
    Christiansen, H., De Tré, G., Yazici, A., Zadrozny, S., Andreasen, T., Larsen, H.L. (eds.): FQAS 2011. LNCS, vol. 7022. Springer, Heidelberg (2011)Google Scholar
  6. 6.
    Codd, E.F.: A Relational Model of Data for Large Shared Data Banks. Communications of the ACM 13(6), 377–387 (1970)zbMATHCrossRefGoogle Scholar
  7. 7.
    Dubois, D., Prade, H.: Using fuzzy sets in flexible querying: why and how? In: Andreasen, T., Christiansen, H., Larsen, H.L. (eds.) Flexible Query Answering Systems. Kluwer Academic Publishers, Dordrecht (1997)Google Scholar
  8. 8.
    Dujmović, J.: Extended Continuous Logic and the Theory of Complex Criteria. Journal of the University of Belgrade, EE Dept., Series Mathematics and Physics 537, 197–216 (1975)Google Scholar
  9. 9.
    Dujmović, J.: Partial Absorption Function. Journal of the University of Belgrade, EE Dept., Series Mathematics and Physics 659, 156–163 (1979)Google Scholar
  10. 10.
    Dujmović, J.: Preference Logic for System Evaluation. IEEE Trans. on Fuzzy Systems 15(6), 1082–1099 (2007)CrossRefGoogle Scholar
  11. 11.
    Dujmović, J., De Tré, G.: Multicriteria Methods and Logic Aggregation in Suitability Maps. Int. Journal of Intelligent Systems 26(10), 971–1001 (2011)CrossRefGoogle Scholar
  12. 12.
    Edwards, W., Newman, J.R.: Multiattribute Evaluation. SAGE Publications, Beverly Hills (1982)Google Scholar
  13. 13.
    Klement, E.P., Mesiar, R., Pap, E. (eds.): Triangular Norms. Kluwer Academic Publishers, Boston (2000)zbMATHGoogle Scholar
  14. 14.
    Kacprzyk, J., Ziółkowski, A.: Database queries with fuzzy linguistic quantifiers. IEEE Trans. on Systems, Man and Cybernetics 16, 474–479 (1986)CrossRefGoogle Scholar
  15. 15.
    Miller, J.R.: Professional Decision-Making. Praeger Publishers, NY (1970)Google Scholar
  16. 16.
    Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, NY (1980)zbMATHGoogle Scholar
  17. 17.
    Yager, R.R., Kacprzyk, J.: The Ordered Weighted Averaging Operators: Theory and Applications. Kluwer Academic Publishers, Norwell (1997)CrossRefGoogle Scholar
  18. 18.
    Yoon, K.P., Hwang, C.-L.: Multiple Attribute Decision Making. SAGE Publications, Beverly Hills (1995)Google Scholar
  19. 19.
    Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)MathSciNetzbMATHCrossRefGoogle Scholar
  20. 20.
    Zadeh, L.A.: A computational approach to fuzzy quantifiers in natural languages. Computational Mathematics Applications 9, 149–184 (1983)MathSciNetzbMATHCrossRefGoogle Scholar
  21. 21.
    Zadrozny, S., De Tré, G., De Caluwe, R., Kacprzyk, J.: An Overview of Fuzzy Approaches to Flexible Database Querying. In: Galindo, J. (ed.) Handbook of Research on Fuzzy Information Processing in Databases, pp. 34–54. IGI Global, NY (2008)CrossRefGoogle Scholar
  22. 22.
    Zeleny, M.: Multiple Criteria Decision Making. McGraw-Hill, NY (1982)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Guy De Tré
    • 1
  • Jozo Dujmović
    • 2
  • Antoon Bronselaer
    • 1
  • Tom Matthé
    • 1
  1. 1.Department of Telecommunications and Information ProcessingGhent UniversityGhentBelgium
  2. 2.Department of Computer ScienceSan Francisco State UniversitySan FranciscoU.S.A.

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