A new possibilistic classifier for mixed categorical and numerical data based on a bi-module possibilistic estimation and the generalized minimum-based algorithm-Reference-Cited by-同舟云学术

A new possibilistic classifier for mixed categorical and numerical data based on a bi-module possibilistic estimation and the generalized minimum-based algorithm

Published:2019-04-09 Issue:4 Volume:36 Page:3513-3523
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), Tunisia

2. HESTIM School of Engineering and Management, Casablanca, Morocco

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 98071, USA

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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