Accelerating ReliefF using information granulation

A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms

Proceedings of the 2011 ACM Symposium on Research in Applied Computation - RACS '11 ◽

10.1145/2103380.2103449 ◽

2011 ◽

Author(s):

Wei Huang ◽

Sung-Kwun Oh ◽

Keon-Jun Park ◽

Yong-Kab Kim

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Optimization Algorithm ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Information Granulation ◽

Inference Systems

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Fuzzy information granulation towards interpretable sentiment analysis

Granular Computing ◽

10.1007/s41066-017-0043-8 ◽

2017 ◽

Vol 2 (4) ◽

pp. 289-302 ◽

Cited By ~ 29

Author(s):

Han Liu ◽

Mihaela Cocea

Keyword(s):

Sentiment Analysis ◽

Fuzzy Information ◽

Information Granulation ◽

Fuzzy Information Granulation

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Fuzzy descriptive models: an interactive framework of information granulation [ECG data]

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2002.805891 ◽

2002 ◽

Vol 10 (6) ◽

pp. 743-755 ◽

Cited By ~ 11

Author(s):

G. Bortolan ◽

W. Pedrycz

Keyword(s):

Information Granulation ◽

Descriptive Models ◽

Ecg Data

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Balancing Interpretability and Accuracy by Multi-Level Fuzzy Information Granulation

2006 IEEE International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2006.1681999 ◽

2006 ◽

Cited By ~ 4

Author(s):

C. Mencar ◽

G. Castellano ◽

A.M. Fanelli

Keyword(s):

Fuzzy Information ◽

Information Granulation ◽

Multi Level ◽

Fuzzy Information Granulation

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Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/11526018_34 ◽

2005 ◽

pp. 346-353 ◽

Cited By ~ 1

Author(s):

Ho-Sung Park ◽

Sung-Kwun Oh ◽

Witold Pedrycz ◽

Hyun-Ki Kim

Keyword(s):

Neural Networks ◽

Information Granulation ◽

Self Organizing

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A neural network based information granulation approach to shorten the cellular phone test process

Computers in Industry ◽

10.1016/j.compind.2006.01.001 ◽

2006 ◽

Vol 57 (5) ◽

pp. 412-423 ◽

Cited By ~ 13

Author(s):

Chao-Ton Su ◽

Long-Sheng Chen ◽

Tai-Lin Chiang

Keyword(s):

Neural Network ◽

Cellular Phone ◽

Information Granulation ◽

Test Process

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A data-driven fuzzy information granulation approach for battery state of health forecasting

Journal of Power Sources ◽

10.1016/j.jpowsour.2020.228716 ◽

2020 ◽

Vol 475 ◽

pp. 228716 ◽

Cited By ~ 1

Author(s):

Wenjie Pan ◽

Qi Chen ◽

Maotao Zhu ◽

Jie Tang ◽

Jianling Wang

Keyword(s):

Data Driven ◽

State Of Health ◽

Fuzzy Information ◽

Information Granulation ◽

Fuzzy Information Granulation

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Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification

Pattern Recognition ◽

10.1016/j.patcog.2017.02.011 ◽

2017 ◽

Vol 67 ◽

pp. 32-46 ◽

Cited By ~ 46

Author(s):

Shifei Ding ◽

Xiekai Zhang ◽

Yuexuan An ◽

Yu Xue

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Multiple Birth ◽

Information Granulation ◽

Multi Class Classification ◽

Linear Loss

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Design of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Encoding and Information Granulation

Computational Science – ICCS 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72590-9_162 ◽

2007 ◽

pp. 1076-1083

Author(s):

Sung-Kwun Oh ◽

In-Tae Lee ◽

Hyun-Ki Kim

Keyword(s):

Neural Networks ◽

Fuzzy Set ◽

Information Granulation

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Design of Information Granulation-Based Fuzzy Radial Basis Function Neural Networks Using NSGA-II

Advances in Neural Networks - ISNN 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13278-0_28 ◽

2010 ◽

pp. 215-222

Author(s):

Jeoung-Nae Choi ◽

Sung-Kwun Oh ◽

Hyun-Ki Kim

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Nsga Ii ◽

Information Granulation ◽

Radial Basis

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