The theoretical fundamentals of learning theory based on fuzzy complex random samples-Reference-Cited by-同舟云学术

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The theoretical fundamentals of learning theory based on fuzzy complex random samples

Published:2009-09 Issue:17 Volume:160 Page:2429-2441
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Ha Minghu,Pedrycz Witold,Zheng Lifang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference36 articles.

1. Fuzzy complex numbers;Buckley;Fuzzy Sets and Systems,1989

2. Fuzzy complex analysis II: integration;Buckley;Fuzzy Sets and Systems,1992

3. Fuzzy complex analysis I: differentiation;Buckley;Fuzzy Sets and Systems,1991

4. Extraction of fuzzy rules from support vector machines;Castro;Fuzzy Sets and Systems,2007

5. On fuzzy mapping and control;Chang;IEEE Transaction on Systems Man and Cybernetics,1972

Cited by 5 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. Complex Fuzzy Set-Valued Complex Fuzzy Measures and Their Properties;The Scientific World Journal;2014

2. Fuzzy complex numbers and their application for classifiers performance evaluation;Pattern Recognition;2011-07

3. The theoretical foundations of statistical learning theory based on fuzzy random samples in Sugeno measure space;Transactions of the Institute of Measurement and Control;2011-06-27

4. Fuzzy Compositional Modeling;IEEE Transactions on Fuzzy Systems;2010-08

5. The Key Theorem of Learning Theory Based on Sugeno Measure and Fuzzy Random Samples;Lecture Notes in Computer Science;2010

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