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Reseach Article

Optimization of Decision Rules in Fuzzy Classification

by Renuka Arora, Sudesh Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 3
Year of Publication: 2012
Authors: Renuka Arora, Sudesh Kumar
10.5120/8021-0505

Renuka Arora, Sudesh Kumar . Optimization of Decision Rules in Fuzzy Classification. International Journal of Computer Applications. 51, 3 ( August 2012), 13-17. DOI=10.5120/8021-0505

@article{ 10.5120/8021-0505,
author = { Renuka Arora, Sudesh Kumar },
title = { Optimization of Decision Rules in Fuzzy Classification },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 3 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number3/8021-0505/ },
doi = { 10.5120/8021-0505 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:49:26.411593+05:30
%A Renuka Arora
%A Sudesh Kumar
%T Optimization of Decision Rules in Fuzzy Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 3
%P 13-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There are various advances in data collection that can intelligently and automatically analyze and mine knowledge from large amounts of data. World Wide Web as a global information system has flooded us with a tremendous amount of data and information Discovery of knowledge and decision-making directly from such huge volumes of data contents is a real challenge. The Knowledge Discovery in Databases (KDD) is the process of extracting the knowledge from huge data collection. Data mining is a step of KDD in which patterns or models are extracted from data by using some automated techniques. Discovering knowledge in the form of classification rules is one of the most important tasks of data mining. Discovery of comprehensible, concise and effective rules helps us to make right decisions. Therefore, several Machine Learning techniques are applied for discovery of classification rules. Recently there have been several applications of genetic algorithms for effective rules with high predictive accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Classification Genetic Programming Evolutionary Algorithms