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A Study on the Approximation of Clustered Data to Parameterized Family of Fuzzy Membership Functions for the Induction of Fuzzy Decision Trees Cover

A Study on the Approximation of Clustered Data to Parameterized Family of Fuzzy Membership Functions for the Induction of Fuzzy Decision Trees

Cybernetics and Information Technologies
Volume 15 (2015): Issue 2 (June 2015)
By: Swathi J. Narayanan,  Ilango Paramasivam,  Rajen B. Bhatt and  M. Khalid  
Open Access
|Jul 2015
Authors

Authors

Swathi J. Narayanan

jnswathi@vit.ac.in

Ilango Paramasivam

pilango@vit.ac.in

Rajen B. Bhatt

rajen.bhatt@gmail.com

M. Khalid

mkhalidbs@yahoo.com

DOI: https://doi.org/10.1515/cait-2015-0030 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 75 - 96
Published on: Jul 3, 2015
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Fuzzy decision tree,
clustering,
fuzzy membership functions,
non parametric statistical test.
Related subjects:
Computer sciences,
Information technology

© 2015 Swathi J. Narayanan, Ilango Paramasivam, Rajen B. Bhatt, M. Khalid, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 15 (2015): Issue 2 (June 2015)
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