A new classifier for categorical data based on a possibilistic estimation and a novel generalized minimum-based algorithm-Reference-Cited by-同舟云学术

A new classifier for categorical data based on a possibilistic estimation and a novel generalized minimum-based algorithm

Published:2017-08-24 Issue:3 Volume:33 Page:1723-1731
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Baati Karim¹²,Hamdani Tarek M.¹³,Alimi Adel M.¹,Abraham Ajith⁴

Affiliation:

1. REGIM-Lab.: REsearch Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), Sfax, Tunisia

2. Esprit School of Engineering, Tunis, Tunisia

3. Taibah University, College Of Science and arts at Al-Ula, Al-Madinah al-Munawwarah, KSA

4. Machines Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, USA

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference33 articles.

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3. Baati K. , Kanoun S. and Benjlaiel M. , Différenciation d’écritures arabe et latine de natures imprimée et manuscrite par approche globale, in: Colloque International Francophone sur l’Ecrit et le Document (CIFED), 2010.

4. Kotsiantis S.B. , Zaharakis I.D. and Pintelas P.E. , Supervised machine learning: A review of classification techniques, Frontiers in Artificial Intelligence and Applications 160 (2007).

5. Fuzzy sets as a basis for a theory of possibility;Zadeh;Fuzzy Sets and Systems,1978

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