A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification-Reference-Cited by-同舟云学术

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A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification

Published:2019-04-01 Issue:1 Volume:13 Page:81-89
ISSN:1872-4981
Container-title:Intelligent Decision Technologies
language:
Short-container-title:IDT

Author:

Leow Shoun Ying¹,Wong Shen Yuong²,Yap Keem Siah¹,Yap Hwa Jen³

Affiliation:

1. Department of Electronics and Communication Engineering, Universiti Tenaga Nasional, Selangor, Malaysia

2. School of Electrical and Computer Engineering, Xiamen University Malaysia, Selangor, Malaysia

3. Department of Mechanical Engineering, University of Malaya, Kuala Lumpur, Malaysia

Publisher

IOS Press

Subject

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

Reference36 articles.

1. Clustering data of mixed categorical and numerical type with unsupervised feature learning;Lam;IEEE Access,2015

2. Medical data classification using interval type-2 fuzzy logic systemand wavelets;Nguyen;Applied Soft Computing,2015

3. Feature-based ordering algorithm for data presentation of fuzzy ARTMAP ensembles;Oong;IEEE Transactions on Neural Networks and Learning Systems,2014

4. An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification;Yap;Journal of Intelligent and Fuzzy Systems,2010

5. Pearce G, Wong J, Mirtskhulava L, Al-Majeed S, Bakuria K, Gulua N. Artificial neural network and mobile applications in medical diagnosis. 17th UKSIM-AMSS International Conference on Modelling and Simulation; March 2015; Cambridge, United Kingdom.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing Constrained Interval Operators for Fuzzy Logic with Interval Values;Axioms;2023-12-13

2. Optimal design of a general type-2 fuzzy classifier for the pulse level and its hardware implementation;Engineering Applications of Artificial Intelligence;2021-01

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