• DocumentCode
    2491207
  • Title

    Generating Weighted Fuzzy Rules for Estimating Null Values Using an Evolutionary Algorithm

  • Author

    Islam, Muhammad Nazrul ; Shill, Pintu Chandra ; Mridha, Muhammad Firoz ; Muhammad, D. ; Islam, Sariful ; Hashem, M.M.A.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Khulna Univ. of Eng. & Technol.
  • fYear
    2006
  • fDate
    19-21 Dec. 2006
  • Firstpage
    324
  • Lastpage
    327
  • Abstract
    In this paper we have been trying to estimate null values from relational database systems. At present some methods exist to estimate null values from relational database systems. The estimated accuracy of the existing methods are not good enough. We use advance technique for estimating null values in relational database systems. In our paper we present the technique to generate weighted fuzzy rules from relational database systems for estimating null values using evolutionary algorithms. The parameters (operators) of the evolutionary algorithms are adapted via fuzzy systems. We have fuzzified the attribute values using membership functions shape, type and parameter values. The results of the evolutionary algorithms are the weights of the attributes. The different weight of attribute generates a set of fuzzy rules. From this we have obtained a set of rules. Our proposed techniques have a higher average estimated accuracy rate and able to estimate the null values in relational database systems
  • Keywords
    evolutionary computation; expert systems; fuzzy set theory; fuzzy systems; relational databases; attribute values; evolutionary algorithm; fuzzy expert system; membership functions shape; null values; parameter values; relational database systems; weighted fuzzy rules; Computer science; Counting circuits; Data engineering; Evolutionary computation; Fuzzy sets; Fuzzy systems; Genetic mutations; Hybrid intelligent systems; Relational databases; Shape; Evolutionary Algorithms; Fuzzy Expert System; Membership Functions; Null values; Relational Database Systems; Weighted Fuzzy Rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2006. ICECE '06. International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    98432-3814-1
  • Type

    conf

  • DOI
    10.1109/ICECE.2006.355637
  • Filename
    4178473