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Article:Performances of Estimating Null Values using Noble Evolutionary Algorithm (NEAs) by Generating Weighted Fuzzy Rules

by Muhammad Firoz Mridha, Manoj Banik
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 9
Year of Publication: 2010
Authors: Muhammad Firoz Mridha, Manoj Banik
10.5120/1609-2161

Muhammad Firoz Mridha, Manoj Banik . Article:Performances of Estimating Null Values using Noble Evolutionary Algorithm (NEAs) by Generating Weighted Fuzzy Rules. International Journal of Computer Applications. 11, 9 ( December 2010), 30-35. DOI=10.5120/1609-2161

@article{ 10.5120/1609-2161,
author = { Muhammad Firoz Mridha, Manoj Banik },
title = { Article:Performances of Estimating Null Values using Noble Evolutionary Algorithm (NEAs) by Generating Weighted Fuzzy Rules },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 11 },
number = { 9 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume11/number9/1609-2161/ },
doi = { 10.5120/1609-2161 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:00:08.360924+05:30
%A Muhammad Firoz Mridha
%A Manoj Banik
%T Article:Performances of Estimating Null Values using Noble Evolutionary Algorithm (NEAs) by Generating Weighted Fuzzy Rules
%J International Journal of Computer Applications
%@ 0975-8887
%V 11
%N 9
%P 30-35
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper Present a noble technique 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 have used an 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 Noble Evolutionary algorithms. The parameters (operators) of the Evolutionary algorithms are adapted via Fuzzy systems. We have fuzzified the attribute values using membership functions shape. The results of the evolutionary algorithms are the weights of the attributes. The different weights of attribute generate 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.

References
  1. Yuhui Shi, Russell Eberhart, Yaobin Chen,“Implementationof Evolutionary Fuzzy Systems”, IEEE Transaction of Evolutionary Computation, Vol-7, No.2, April 1999.
  2. S.M.Chen and M.S.yeh.”Generating fuzzy rules from relational database systems for estimating null values.”Cybern.Syst.vol.28,no.8.pp.665-723,1997.
  3. S.M.chen and H.H. Chen ,”estimating Null values in the distributed relational databases environment.” Cybern. Syst.,vol.31.no.8.pp,851-871,2000.
  4. H.L.Lin and S.M. Chen,“Generating weighted Fuzy rules from training data for handling fuzzy classification problems,”in Proc.2000 Int. Computer Symp.: workshop Artificial Intelligence, Chiayi, Taiwan ,R.O.C.,2000, pp.11-18.
  5. M.M.A Hashem ,Keigo Watanabe “evolutionary Computations”, Khulna University of Engineering and Technology,Bangladesh
  6. J.C.Cubero and M.A. Vila,”A new definition of fuzzy functional dependency in fuzzy relational databases,” Int.J.intel.Syst.,vol.9.no.5,pp.441-448,1994.
  7. J.grant,”Null values in a relational database,” inform.Processing Lett., vol.6,no.5,pp.156-157,1977.
  8. C.M.Haung and S.M.Chen,“A new method to estimate null values in relational database systems using geneticalgorithms,”inProc.6thConf.ArtificialIntelligenceApplications,Kaushiung,Taiwan,R.O.C.,2001,2000,pp.599-604.
  9. D.G.Burkhardt and P.P.Bonissone.”Automated fuzzy knowledge base Generation and tuning.” In Proc.1992 IEEE Int.Conf. Fuzzy Systems San Diego,CA.1992,pp.179-188.
  10. P.Bosc.D.Dubois,and H.Prade, “Fuzzy functional dependencies and redundancy elimination.” J.Amer. Soc.inform. Sci.,vol.49.pp.217-235,1998
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy System Membership Functions Noble Evolutionary algorithms Null values Relational Database Systems Weighted Fuzzy Rules

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