On the membership function in the integration of fuzzy databases

Tsu Hao Chang, Julie Yu Chih Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In fuzzy relation-based data model, a membership function is used to represent the degree of a set membership for a fuzzy linguistic term, that is, an attribute value. This paper presents a method to define the membership function for a linguistic term in the integrated FOB via the combination of the membership functions defined for the same linguistic term in FDBs to be integrated. This method comprises the fuzzy addition and fuzzy multiplication as well as the weighted opinion. And thus, it is practical on the application of the integration of FDBs.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Artificial Intelligence IC-AI 2003
EditorsH.R. Arabnia, R. Joshua, Y. Mun, H.R. Arabnia, R. Joshua, Y. Mun
Pages985-987
Number of pages3
Volume2
Publication statusPublished - 2003
Externally publishedYes
EventProceedings of the International Conference on Artificial Intelligence, IC-AI 2003 - Las Vegas, NV, United States
Duration: Jun 23 2003Jun 26 2003

Other

OtherProceedings of the International Conference on Artificial Intelligence, IC-AI 2003
CountryUnited States
CityLas Vegas, NV
Period6/23/036/26/03

Keywords

  • Data integration
  • Fuzzy relation-based data model
  • Membership function
  • Weighted combination

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Chang, T. H., & Liu, J. Y. C. (2003). On the membership function in the integration of fuzzy databases. In H. R. Arabnia, R. Joshua, Y. Mun, H. R. Arabnia, R. Joshua, & Y. Mun (Eds.), Proceedings of the International Conference on Artificial Intelligence IC-AI 2003 (Vol. 2, pp. 985-987)