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Integrating Fuzziness in Database Models

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Fuzziness in Database Management Systems

Part of the book series: Studies in Fuzziness ((STUDFUZZ,volume 5))

Abstract

In this paper we propose a way of integrating fuzziness and uncertainty in three database models: the relational database model, an extended entity-relationship model and an object-oriented database model. For this, we rely upon the notion of fuzzy truth value, defined as a fuzzy set on {true, false}, and on the corresponding fuzzy logic, of which simplicity is its strength.

1985–1988, no longer associated with the laboratory

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References

  • Atkinson M., F. Bancilhon, D. DeWitt, K. Dittrich, D. Maier, and S. Zdonik (1990) The object-oriented database system manifesto, in W. Kim, J.-M. Nicolas and S. Nishio (Eds.): Deductive and Object-Oriented Databases, Elsevier Science Publishers ( North-Holland, Amsterdam, 223–240.

    Google Scholar 

  • Buckles B.P., and F.E. Petry (1982) A fuzzy representation of data for relational databases. Fuzzy Sets and Systems, 7, 213–226.

    Article  Google Scholar 

  • Chen P.P. (1976) The entity-relationship model–toward an unified view of data. ACM ToDS 1 (1), 9–36.

    Article  Google Scholar 

  • Dubois D. and H. Prade (1985) Théorie des Possibilités. Applications à la Représentation des Connaissances en Informatique. Masson, Paris.

    Google Scholar 

  • Dubois D., H. Prade, and J.-P. Rossazza (1991) Vagueness, typicality and uncertainty in class hierarchies. Int. J. of Intelligent Systems 6, 167–183.

    Google Scholar 

  • George R., B.P. Buckles, and F.E. Petry (1991) Integrating artificial intelligence and databases - where do we manage uncertainty. Proc. of IJCAI’91, Workshop on Integrating Artificial. Intelligence and Database Systems, Melbourne, Australia.

    Google Scholar 

  • Raju K.V.S.V.N., and A.K. Majumdar (1988) Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems. ACM ToDS, 13 (2), 129–166.

    Article  Google Scholar 

  • Richardson J.,and P.Schwarz (1991) Aspects: extending objects to support multiple, independent roles. ACM Sigmod Record 20 (2), 298–307.

    Google Scholar 

  • Ruspini E.H. (1986) Imprecision and uncertainty in the entity-relationship model, in Prade H. and Negoita C.V. (Eds.): Fuzzy Logic in Knowledge Engineering, Verlag TÜV Rheinland GmbH, Köln, 18–28.

    Google Scholar 

  • Testemale C. (1986) A database system dealing with incomplete or uncertain information and vague queries. in Prade H. and Negoita C.V. (Eds.): Fuzzy Logic in Knowledge Engineering, Verlag TUV Rheinland, Köln, 29–45.

    Google Scholar 

  • Vandenberghe R.M., and R.M. De Caluwe (1991) An entity-relationship approach to the modelling of vagueness in databases. in R. Kruse and P. Siegel (Eds.): Proc. of ECSQAU’91, Marseille, Springer-Verlag, Berlin Heidelberg, 338–343.

    Google Scholar 

  • Van Gyseghem N., R. De Caluwe, and R. Vandenberghe (1993) UFO: uncertainty and fuzziness in an object-oriented model, Proc. of FUZZIEEE’93, San Francisco, 773–778

    Google Scholar 

  • Van Schooten A. (1988) Ontwerp en implementatie van een model voor de representatie - en manipulatie van onzekerheid en imprecisie in databanken en expert systemen (Design and Implementation of a Model for the Representation and Manipulation of Uncertainty and Imprecision in Data Bases and Expert Systems). Ph. D. dissertation (in Dutch ), RUG (unpublished).

    Google Scholar 

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

    Article  Google Scholar 

  • Zemankova M., and A. Kandel (1985) Fuzzy Relational Databases - a Key to Expert Systems. Verlag TOY Rheinland, Köln.

    Google Scholar 

  • Zicari R. (1990) Incomplete information in object-oriented databases. Proc. of Conf. on Object Oriented Databases: Analysis, Design and Construction, Windermere, UK.

    Google Scholar 

  • Zvieli A., and P.P. Chen (1986) Entity-relationship modeling and fuzzy databases. Proc. of the 2nd Int. Conf. on Data Engineering, Los Angeles, 320–327.

    Google Scholar 

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© 1995 Springer-Verlag Berlin Heidelberg

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De Caluwe, R., Vandenberghe, R., Van Gyseghem, N., Van Schooten, A. (1995). Integrating Fuzziness in Database Models. In: Bosc, P., Kacprzyk, J. (eds) Fuzziness in Database Management Systems. Studies in Fuzziness, vol 5. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1897-0_5

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  • DOI: https://doi.org/10.1007/978-3-7908-1897-0_5

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-11805-4

  • Online ISBN: 978-3-7908-1897-0

  • eBook Packages: Springer Book Archive

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