• DocumentCode
    2902162
  • Title

    Optimization of the normalization of fuzzy relational databases by using alternative methods of calculation for the Fuzzy Functional Dependency

  • Author

    Shirvanian, Marcel ; Lippe, Wolfram

  • Author_Institution
    Dept. of Math. & Comput. Sci., Muenster Univ., Munster
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    15
  • Lastpage
    20
  • Abstract
    Although, in comparison to standard databases, a tremendous benefit is often derived by using fuzzy databases, their distribution is very low. A reason for the relatively poor acceptance of fuzzy relational databases is to be seen in the difficulty to carry out an adequate normalization. The various procedures discussed in the literature possess miscellaneous weaknesses. In this work a normalization method is regarded whose most significant deficit lies in the fuzzy functional dependency (FFD) because thereby comprehensible results are not produced. Therefore, it is registered which alternatives for the determination of the degree of FFD exist. Furthermore, it is examined with which of these methods the just addressed disadvantage can be eliminated. For this purpose, the presented methods are applied to several examples in order to identify their characteristics.
  • Keywords
    fuzzy set theory; relational databases; fuzzy functional dependency; fuzzy relational databases; normalization optimization; Concrete; Fuzzy sets; Optimization methods; Performance analysis; Q measurement; Relational databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630336
  • Filename
    4630336