Soft granular computing based classification using hybrid fuzzy-KNN-SVM

Author:

Panda Mrutyunjaya1,Abraham Ajith23,Tripathy B.K.4

Affiliation:

1. Department of Computer Science, Utkal University, Vani Vihar, Odisha, India

2. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

3. IT4Innovations, Center of Excellence VSB, Technical University of Ostrava, Ostrava, Poruba, Czech Republic

4. School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Reference63 articles.

1. Bargiela A. and Pedrycz W., The roots of granular computing, Proc of the IEEE Int'l Conf on Granular Computing (2006), 806-809.

2. Bargiela A. and Pedrycyz W., Towards a theory of granular computing for human-centered information processing, IEEE Transaction on Fuzzy Systems 16(2) (2008), 320-330.

3. Budihardjo A., Grzymala-Busse J. and Woolery L., Program LERS_LB 2.5 as a tool for knowledge acquisition in nursing, Proceedings of the 4th Int, Conference on Industrial and Engineering Applications of AI and Expert Systems (1991), 735-740.

4. Fuzzy rough granular neural networks;Ganivada;Fuzzy Granules and Classification, Theoretical Computer Science,2011

5. Fuzzy rough set and a granular neural network for unsupervised feature selection;Ganivada;Neural Networks,2013

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