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Fuzzy Sets and Possibility Theory

Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 306)

References

  1. Bosc P, Pivert O (1995) SQLf: a relational database language for fuzzy querying. IEEE Trans Fuzzy Syst 3(1):1–17MathSciNetCrossRefGoogle Scholar
  2. Bosc P, Kraft DH, Petry FE (2005) Fuzzy sets in database and information systems: status and opportunities. Fuzzy Sets Syst 156(3):418–426MathSciNetCrossRefGoogle Scholar
  3. Calegari S, Ciucci, D. (2006) Integrating fuzzy logic in ontologies. In: Proceedings of the 8th international conference on enterprise information systems, pp. 66–73Google Scholar
  4. Chen SM, Jong WT (1997) Fuzzy query translation for relational database systems. IEEE Trans Syst Man Cybern Part B: Cybern 27(4):714–721CrossRefGoogle Scholar
  5. Codd EF (1986) Missing information (applicable and inapplicable) in relational databases. SIGMOD Rec 15:53–78CrossRefGoogle Scholar
  6. Codd EF (1987) More commentary on missing information in relational databases (applicable and inapplicable information). SIGMOD Rec 16(1):42–50CrossRefGoogle Scholar
  7. Dalvi N, Suciu D (2007) Management of probabilistic data: foundations and challenges. In: Proceedings of the ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems, pp. 1–12Google Scholar
  8. Gottlob G, Zicari R (1988) Closed world databases opened through null values. In: Proceedings of the 1988 international conference on very large data bases, pp. 50–61Google Scholar
  9. Grant J (1979) Partial values in a tabular database model. Inf Process Lett 9(2):97–99MathSciNetCrossRefMATHGoogle Scholar
  10. Klir GJ, Yuan B (1995) Fuzzy sets and fuzzy logic: theory and applications. Prentice-Hall, Upper Saddle RiverGoogle Scholar
  11. Ma ZM, Yan L (2008) A literature overview of fuzzy database models. J Inf Sci Eng 24(1):189–202MATHGoogle Scholar
  12. Ma ZM, Zhang F, Wang HL, Yan L (2012) An overview of fuzzy description logics for the Semantic Web. Knowl Eng Rev 28(1):1–34MathSciNetCrossRefGoogle Scholar
  13. Motor A (1990) Accommodation imprecision in database systems: issues and solutions. ACM SIGMOD Rec 19(4):69–74CrossRefGoogle Scholar
  14. Parsons S (1996) Current approaches to handling imperfect information in data and knowledge bases. IEEE Trans Knowl Data Eng 8:353–372CrossRefGoogle Scholar
  15. Stoilos G, Stamou G, Pan JZ (2010) Fuzzy extensions of OWL: logical properties and reduction to fuzzy description logics. Int J Approx Reason 51:656–679MathSciNetCrossRefMATHGoogle Scholar
  16. Sanchez E (2006) Fuzzy logic and the Semantic Web. Elsevier, AmsterdamMATHGoogle Scholar
  17. Smets P (1996) Imperfect information: imprecision and uncertainty. In: Motro A, Smets P (eds) Uncertainty management in information systems: from needs to solution. Kluwer Academic Publishers, Boston, pp. 225–254Google Scholar
  18. Zaniolo C (1984) Database relations with null values. JCSS 21(1):142–162MathSciNetGoogle Scholar
  19. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inf Sci 8:119–249 and 301–357; 9:43–80Google Scholar
  20. Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353MathSciNetCrossRefMATHGoogle Scholar
  21. Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst 1(1):3–28MathSciNetCrossRefMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Northeastern UniversityShenyangPeople’s Republic of China

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