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Fuzzy querying with the use of interval-valued fuzzy sets

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Języki publikacji
EN
Abstrakty
EN
The paper deals with flexible queries in relational databases. Conditions included in queries are modeled with the use of interval-valued fuzzy sets. Each value returned by a query is associated with a subinterval of [0,1] which expresses a membership degree. The bounds of membership intervals have been determined for different operations of relational algebra and different SQL operators.
Rocznik
Strony
89--105
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
  • Technical University of Łódź, Institute of Information Technology, Wólczańska 215, 90-924 Łódź
autor
  • Technical University of Łódź, Institute of Information Technology, Wólczańska 215, 90-924 Łódź
Bibliografia
  • [1] Motro, A., Imprecision and Uncertainty in Database Systems, In: Studies in Fuzziness: Fuzziness in Database Management Systems, edited by P. Bosc and J. Kacprzyk, Physica Verlag, 1995, pp. 3–22.
  • [2] Zadeh, L., Fuzzy Sets, Information and Control, Vol. 8, No. 3, 1965, pp. 338– 353.
  • [3] Sambuc, R., Fonctions φ-floues. Application à l‘aide au diagnostic en pathologie thyroidienne, Ph.D. thesis, Univ. Marseille, France, 1975, (in French).
  • [4] Zadeh, L., The concept of a linguistic variable and its application to approximate reasoning, Information Sciences, Vol. 8, No. 3, 1975, pp. 199–249.
  • [5] Deschrijver, G. and Kerre, E., On the relationship between some extensions of fuzzy set theory, Fuzzy Sets and Systems, Vol. 133, No. 2, 2003, pp. 227– 235.
  • [6] Tahani, V., A conceptual framework for fuzzy query processing: a step toward very intelligent database systems, Information Processing and Management, Vol. 13, No. 5, 1977, pp. 289–303.
  • [7] Zadrożny, S., Zapytania nieprecyzyjne i lingwistyczne podsumowania baz danych, Akademicka Oficyna Wydawnicza EXIT, 2006, in Polish.
  • [8] Kacprzyk, J., Zadrożny, S., and Ziółkowski, A., FQUERYIII+: a „human consistent” database querying system based on fuzzy logic with linguistic quantifiers, Information Systems, Vol. 6, No. 2, 1989, pp. 443–453.
  • [9] Podstawny, J. and Małysiak, B., Metodyka przetwarzania rozmytych zapytań SQL na klasyczne zapytania, In: Bazy danych. Nowe technologie. Architektura, metody formalne i zaawansowana analiza danych, edited by S. Kozielski, B. Małysiak, K. P., and D. Mrozek, Wydawnictwa Komunikacji i Łączności, 2007, pp. 167–179, in Polish.
  • [10] Bosc, A. and Pivert, O., Fuzzy queries and relational databases, In: SAC ’94 Proceedings of the 1994 ACM Symposium on Applied Computing, 1995, pp. 170–174.
  • [11] Bosc, A. and Pivert, O., SQLf: A Relational Database Language for Fuzzy Querying, IEEE Transactions on Fuzzy Systems, Vol. 3, No. 1, 1995, pp. 1–17.
  • [12] Dembczyński, K., Hapke, M., and Przybył, D., SQLfj a fuzzy querying language and application, Tech. Rep. RA - 010 / 04, Poznań University of Technology, 2004.
  • [13] Dembczyński, K., Hapke, M., and Przybył, D., Fuzzy querying with fuzzy projection, In: Advances in Web Intelligence, Lecture Notes in Artificial Intelligence LNAI 3528, edited by P. Szczepaniak, J. Kacprzyk, and A. Niewiadomski, Springer Verlag, 2005, pp. 121–125.
  • [14] Prade, H. and Testemale, C., Generalizing database relational algebra for the treatment of incomplete or uncertain information and vague queries, Information Sciences, Vol. 34, No. 2, 1984, pp. 115–143.
  • [15] Buckles, B. P. and Petry, F., A Fuzzy Representation of Data for Relational Databases, Fuzzy Sets and Systems, Vol. 7, No. 3, 1982, pp. 213–226.
  • [16] Galindo, J., Urutia, A., and Piattini, M., Fuzzy Databases. Modeling, Design and Implementation, Idea Group Publishing, 2005.
  • [17] Niewiadomski, A., Interval-Valued and Interval Type-2 Fuzzy Sets: A Subjective Comparison, In: Proceedings of FUZZ-IEEE’07VII ITKR’s Session, London, 2007, pp. 1198–1203.
  • [18] Niewiadomski, A., Methods for the linguistic summarization of data: applications of fuzzy sets and their extensions, Akademicka Oficyna Wydawnicza EXIT, 2008.
  • [19] De Tre, G., Zadrożny, S., and Bronselaer, J., Handling Bipolarity in Elementary Queries to Possibilistic Databases, IEEE Transactions on Fuzzy Systems, Vol. 18, No. 3, 2010, pp. 599–611.
  • [20] Alcade, C., Burusco, A., and Fuentes-Gonzales, R., A constructive method for the definition of interval-valued fuzzy implication operators, Fuzzy Sets and Systems, Vol. 153, No. 2, 2005, pp. 211–227.
Typ dokumentu
Bibliografia
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