Skip to main content

Quantified Statements and Some Interpretations for the OWA Operator

  • Chapter
The Ordered Weighted Averaging Operators

Abstract

The interpretation of fuzzy quantified statements of the type “Q X are A” (where Q is a fuzzy quantifier and A is a fuzzy predicate) thanks to the OWA operator is the main topic of this paper. A meaning in terms of α-cuts of fuzzy sets is proposed and the relationships between this approach and fuzzy integrals on the one hand and Dempster-Shafer theory on the other hand, is investigated. The use of fuzzy quantified statements for database querying purposes is also illustrated.

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. P. Bosc, L. Liétard (1993), On the extension of the OWA operator to evaluate some quantifications, Proc. of the First European Congress on Fuzzy and Intelligent Technologies (EUFIT’93), Aachen (Germany), 332–338.

    Google Scholar 

  2. P. Bosc, L. Liétard (1994), Upper mean value and OWA-based computation of quantified statements, Proc. of the Second European Congress on Fuzzy and Intelligent Technologies (EUFIT’94), Aachen (Germany), 371–375.

    Google Scholar 

  3. P. Bosc, L. Liétard (1994), Monotonie quantified statements and fuzzy integrals, Proc. ofNAFIPS/IFIS/NASA’94 Joint Conference, San Antonio (Texas), 8–12.

    Google Scholar 

  4. P. Bosc, O. Pivert (1995), SQLf: A relational database language for fuzzy querying, IEEE Transactions on Fuzzy Systems, 3, 1–17.

    Article  Google Scholar 

  5. P. Bosc, L. Liétard and O. Pivert (1995), Quantified statements in a flexible relational query language, Proc. of the 1995 ACM Symposium on Applied Computing, Nashville (U.S.A.), 488–492.

    Google Scholar 

  6. P. Bosc, L. Liétard and O. Pivert (1995), Quantified statements and database fuzzy querying, in Fuzziness in Database Management Systems, (P. Bosc, J. Kacprzyk eds), Physica-Verlag, 275–308.

    Google Scholar 

  7. A.P. Dempster (1967), Upper and lower probabilities induced by a multi-valued mapping, Ann. Math. Stat, 38, 325–339.

    Article  MathSciNet  MATH  Google Scholar 

  8. D. Dubois, H. Prade (1980), Fuzzy set and systems: theory and applications, Academic Press.

    Google Scholar 

  9. D. Dubois, H. Prade (1983), Ranking fuzzy numbers in the setting of possibility theory, Information Sciences, 30, 183–224.

    Article  MathSciNet  MATH  Google Scholar 

  10. D. Dubois, H. Prade (1985), Fuzzy cardinality and the modeling of imprecise quantification, Fuzzy Sets and Systems, 16, 3, 199–230.

    Article  MathSciNet  MATH  Google Scholar 

  11. D. Dubois, H. Prade (1987), The mean value of a fuzzy number, Fuzzy Sets and Systems, 24, 279–300.

    Article  MathSciNet  MATH  Google Scholar 

  12. D. Dubois, M.C. Jaulent (1987), A general approach to parameter evaluation in fuzzy digital pictures, Pattern Recognition Letters, 6, 251–259.

    Article  MATH  Google Scholar 

  13. D. Dubois, H. Prade (1990), Measuring properties of fuzzy sets: a general technique and its use in fuzzy query evaluation, Fuzzy Sets and Systems, 38, 137–152.

    Article  MathSciNet  MATH  Google Scholar 

  14. D. Dubois, L. Godo, R.L. De Mantaras and H. Prade (1993), Qualitative reasoning with imprecise probabilities, Journal of Intelligent Information Systems, 2, 319–363.

    Article  Google Scholar 

  15. M. Grabisch, T. Murofushi and M. Sugeno (1992), Fuzzy measure of fuzzy events defined by fuzzy integrals, Fuzzy Sets and Systems, 50, 293–313.

    Article  MathSciNet  MATH  Google Scholar 

  16. J. Kacprzyk, R.R. Yager (1984), Linguistic quantifiers and belief qualification in fuzzy multicriteria and multistage decision making, Control and Cybernetics, 13, 3, 155–172.

    MathSciNet  MATH  Google Scholar 

  17. J. Kacprzyk and A. Ziolkowski (1986), Database queries with fuzzy linguistic quantifiers, IEEE Trans.actions on Syst.ems, Man and Cybernetics, 16, 474–478.

    Article  Google Scholar 

  18. J. Kacprzyk, M. Fedrizzi (1989), A human consistent degree of consensus based on fuzzy logic with linguistic quantifiers, Mathematical Social Sciences, 18, 275–290.

    Article  MathSciNet  MATH  Google Scholar 

  19. J. Kacprzyk (1991), Fuzzy linguistic quantifiers in decision making and control, Proc. of International Fuzzy Engineering Symposium (IFES’91), Yokohama (Japan), 800–811.

    Google Scholar 

  20. M. Mizumoto, S. Fukami and K. Tanaka (1979), Fuzzy conditional inferences and fuzzy inferences with fuzzy quantifiers, Proc. of the 6th International joint Conference on Artificial Intelligence, Tokyo (Japan), 589–591.

    Google Scholar 

  21. T. Murofushi, M. Sugeno (1989), An interpretation of fuzzy measure and the Choquet integral as an integral with respect to fuzzy measure, Fuzzy Sets and System, 29, 201–227.

    Article  MathSciNet  MATH  Google Scholar 

  22. H. Prade (1990), A two-layer fuzzy pattern matching procedure for the evaluation of conditions involving vague quantifiers, Journal of Intelligent and Robotic Systems, 3, 93–101.

    Article  MathSciNet  Google Scholar 

  23. M. L. Puri, D. Ralescu (1982), A possibility measure is not a fuzzy measure, Fuzzy sets and Systems, 7, 311–313.

    Article  MathSciNet  MATH  Google Scholar 

  24. D.G. Schwartz (1994), A connection between fuzzy quantifiers and the classical modalities, Proc. of NAFIPS/IFIS/NASA’94 Joint Conference, San Antonio (Texas), 310–314.

    Google Scholar 

  25. G. Shafer (1976), A mathematical theory of evidence, Princeton Univ. Press, Princeton (New Jersey).

    MATH  Google Scholar 

  26. M. Sugeno (1974), Theory of fuzzy integrals and its applications, Ph. D Thesis, Tokyo Institute of Technology, Tokyo (Japan).

    Google Scholar 

  27. R.R. Yager (1983) Quantifiers in the formulation of multiple objective decision functions, Information Sciences, 31, 107–139.

    Article  MathSciNet  MATH  Google Scholar 

  28. R.R. Yager (1983), Quantified propositions in a linguistic logic, International Journal of Man-Machine studies, 19, 195–227.

    Article  MATH  Google Scholar 

  29. R.R. Yager (1988), On ordered weighted averaging aggregation operators in multicriteria decisionmaking, IEEETransactions on Systems, Man, and Cybernetics, 18, 183–190.

    Article  MathSciNet  MATH  Google Scholar 

  30. R.R. Yager (1991), Fuzzy quotient operators for fuzzy relational databases, Proc. of the International Fuzzy Engineering Symposium (IFES’9I), Yokohama (Japan), 289–296.

    Google Scholar 

  31. R.R. Yager (1993), Families of OWA operators, Fuzzy Sets and Systems, 59, 125–148.

    Article  MathSciNet  MATH  Google Scholar 

  32. L.A. Zadeh (1965), Fuzzy sets, Information and Control, 8, 338–353.

    Article  MathSciNet  MATH  Google Scholar 

  33. L.A. Zadeh (1968), Probability measures of fuzzy events, J. Math. Anal. Appl., 23, 421–427.

    Article  MathSciNet  MATH  Google Scholar 

  34. L.A. Zadeh (1975), The concept of a linguistic variable and its application to approximate reasoning — Part I, Information Sciences, 8, 199–249.

    Article  MathSciNet  MATH  Google Scholar 

  35. L.A Zadeh (1978), Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, 1, 3–28.

    Article  MathSciNet  MATH  Google Scholar 

  36. L.A. Zadeh (1983), A computational approach to fuzzy quantifiers in natural languages, Computer Mathematics with Applications, 9, 149–183.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer Science+Business Media New York

About this chapter

Cite this chapter

Bosc, P., Liétard, L. (1997). Quantified Statements and Some Interpretations for the OWA Operator. In: Yager, R.R., Kacprzyk, J. (eds) The Ordered Weighted Averaging Operators. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6123-1_19

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-6123-1_19

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7806-8

  • Online ISBN: 978-1-4615-6123-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics