The use of fuzzy logic in classification

Amaury Caballero

doi:10.1051/matecconf/201929204008

All issues

Volume 292 (2019)

MATEC Web Conf., 292 (2019) 04008

References

Open Access

Issue		MATEC Web Conf. Volume 292, 2019 23^rd International Conference on Circuits, Systems, Communications and Computers (CSCC 2019)


Article Number		04008
Number of page(s)		6
Section		Signal Processing
DOI		https://doi.org/10.1051/matecconf/201929204008
Published online		24 September 2019

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S. M. Gorade et Al., “A Study of Some Data Mining Classification Techniques” International Research J.of Engineering and Technology (IRJET), Vol. 4 April 2017. [Google Scholar]
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A.Caballero et Al., “Method for Optimizing the Number and Precision of Interval-Valued Parameters in a Multi-Object System”, Proceedings from: “15^th International Conference on Telecommunications and Informatics (TELE-INFO’16)”, Ischia Italy, June 17-19, 2016. [Google Scholar]
J.T. Ross, Fuzzy Logic with Engineering Applications. John Wiley and Sons, Inc., 2004. [Google Scholar]
E.D. Cox, “Fuzzy Logic for Business and Industry” Rockland: Charles River Media Publisher, 1995. [Google Scholar]
Asuncion, A. & Newman, D.J. (2007). UCI Machine Learning Repository http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science. [Google Scholar]
M. Ramalingam, “Vertical Handoff Target Selection in a Heterogeneous Wireless Network Using Fuzzy Electre” Thesis for the Degree of Master of Science in Electrical Engineering, Florida International University, 2015. [Google Scholar]

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[1] Y. Leung, et Al., “A Rough Set Approach for the Discovery of Classification Rules in Interval-valued Information Systems”, Int’l J. of Approximate Reasoning, No. 47, 2007, pp. 233–246. [CrossRef] [MathSciNet] [Google Scholar]

[2] Hem Jyotsana Parashar, et Al., “An Efficient Classification Approach for Data Mining” International J. of Machine Learning and Computing, Vol. 2, No. 4, August 2012. [Google Scholar]

[3] S. M. Gorade et Al., “A Study of Some Data Mining Classification Techniques” International Research J.of Engineering and Technology (IRJET), Vol. 4 April 2017. [Google Scholar]

[4] A. Caballero et Al. “Proposed method and Program for Classification of Information Systems”, Proceedings from: 11th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing (CSECS’12), Montreux, Switzerland, December 29-31, 2012 [Google Scholar]

[5] K. Yen, et Al, “Practical solution for the Classification in interval-Valued. Information Systems”. WSEAS Transactions on Systems and Control, Issue 9, Vol. 5, September 2010. pp 735 – 744. [Google Scholar]

[6] A.Caballero et Al., “Method for Optimizing the Number and Precision of Interval-Valued Parameters in a Multi-Object System”, Proceedings from: “15^th International Conference on Telecommunications and Informatics (TELE-INFO’16)”, Ischia Italy, June 17-19, 2016. [Google Scholar]

[7] J.T. Ross, Fuzzy Logic with Engineering Applications. John Wiley and Sons, Inc., 2004. [Google Scholar]

[8] E.D. Cox, “Fuzzy Logic for Business and Industry” Rockland: Charles River Media Publisher, 1995. [Google Scholar]

[9] Asuncion, A. & Newman, D.J. (2007). UCI Machine Learning Repository http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science. [Google Scholar]

[10] M. Ramalingam, “Vertical Handoff Target Selection in a Heterogeneous Wireless Network Using Fuzzy Electre” Thesis for the Degree of Master of Science in Electrical Engineering, Florida International University, 2015. [Google Scholar]