Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2014 (Vol. 7, Issue: 13)
Article Information:

An Innovative Potential on Rule Optimization using Fuzzy Artificial Bee Colony

K. Sathesh Kumar and M. Hemalatha
Corresponding Author:  M. Hemalatha 

Key words:  Fuzzy ABC algorithm, fuzzy apriori, fuzzy association rule, fuzzy datamining, rule optimization, ,
Vol. 7 , (13): 2627-2633
Submitted Accepted Published
June 11, 2012 July 04, 2013 April 05, 2014
Abstract:

This study adapted an improved algorithm based on Artifical Bee Colony Optimization. It is not possible to justify that all the rules generated by fuzzy based apriori algorithm produce optimum result. Thus optimization of the result generated was carried out by Fuzzy Apriori algorithm using Fuzzy Artifical Bee Colony Optimization (FABCO), it's worth noting that a significant findings were revealed. FABCO is used for optimization of rules to get the best classification accuracy. The proposed method was compared with the traditional Artifical bee colony optimization and the particle swarm optimization. The current work proved a better classification performance compared to un-pruned rules.
Abstract PDF HTML
  Cite this Reference:
K. Sathesh Kumar and M. Hemalatha, 2014. An Innovative Potential on Rule Optimization using Fuzzy Artificial Bee Colony.  Research Journal of Applied Sciences, Engineering and Technology, 7(13): 2627-2633.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved