Software Quality Knowledge Discovery: A Rough Set Approach. - Sheela Ramanna; James F. Peters; Tae-Chon Ahn (COMPSAC, 2002)

Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach. - James F. Peters; Tae-Chon Ahn; Maciej Borkowski (Rough Sets and Current Trends in Computing, 2002)

Self-organizing neural networks with fuzzy polynomial neurons. - Sung-Kwun Oh; Witold Pedrycz; Tae-Chon Ahn (Appl. Soft Comput., 2002)

Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. - Sung-Kwun Oh; James F. Peters; Witold Pedrycz; Tae-Chon Ahn (RSFDGrC, 2003)

Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. - Byoung-Jun Park; Sung-Kwun Oh; Witold Pedrycz; Tae-Chon Ahn (International Conference on Computational Science, 2004)

Parameter estimation of fuzzy controller and its application to inverted pendulum. - Sung-Kwun Oh; Witold Pedrycz; Seok-Beom Roh; Tae-Chon Ahn (Eng. Appl. Artif. Intell., 2004)

Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. - Sung-Kwun Oh; Keon-Jun Park; Witold Pedrycz; Tae-Chon Ahn (Australian Conference on Artificial Intelligence, 2005)

Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons. - Sung-Kwun Oh; Byoung-Jun Park; Witold Pedrycz; Tae-Chon Ahn (International Conference on Computational Science (1), 2005)

Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks. - Sung-Kwun Oh; Seok-Beom Roh; Tae-Chon Ahn (ISNN (3), 2005)

Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation. - Sung-Kwun Oh; Keon-Jun Park; Yong-Soo Kim; Tae-Chon Ahn (IWANN, 2005)

Improvement of HSOFPNN Using Evolutionary Algorithm. - Ho-Sung Park; Sung-Kwun Oh; Tae-Chon Ahn (Australian Conference on Artificial Intelligence, 2006)

The Analysis and Design of IG_gHSOFPNN by Evolutionary Optimization. - Ho-Sung Park; Tae-Chon Ahn (FSKD, 2006)

Design Methodology of Optimized IG_gHSOFPNN and Its Application to pH Neutralization Process. - Ho-Sung Park; Kyung-Won Jang; Sung-Kwun Oh; Tae-Chon Ahn (ICONIP (3), 2006)

An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation. - Seok-Beom Roh; Hyung-Soo Hwang; Tae-Chon Ahn (ICONIP (3), 2006)

Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process. - Tae-Chon Ahn; Ho-Sung Park (IDEAL, 2006)

Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm. - Ho-Sung Park; Sung-Kwun Oh; Tae-Chon Ahn (IEA/AIE, 2006)

A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis. - Ho-Sung Park; Sung-Kwun Oh; Tae-Chon Ahn (ISNN (1), 2006)

A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms. - Seok-Beom Roh; Sung-Kwun Oh; Tae-Chon Ahn (ISNN (1), 2006)

Genetically Optimized Fuzzy Set-Based Polynomial Neural Networks Based on Information Granules with Aids of Symbolic Genetic Algorithms. - Tae-Chon Ahn; Kyung-Won Jang; Seok-Beom Roh (KES (3), 2006)

The Design of Self-tuning Strategy of Genetically Optimized Fuzzy-PI Controller for HVDC System. - Zhong-Xian Wang; Jueng-je Yang; Tae-Chon Ahn (KES (1), 2006)

Intuitionistic Fuzzy Subgroups and Level Subgroups. - Tae-Chon Ahn; Kul Hur; Kyung-Won Jang (Int. J. Fuzzy Log. Intell. Syst., 2006)

Data Pattern Estimation with Movement of the Center of Gravity. - Tae-Chon Ahn; Kyung-Won Jang; Dong-Du Shin; Hak-Soo Kang; Yang-Woong Yoon (Int. J. Fuzzy Log. Intell. Syst., 2006)

Optimal Fuzzy Models with the Aid of SAHN-based Algorithm. - Jong-Seok Lee; Kyung-Won Jang; Tae-Chon Ahn (Int. J. Fuzzy Log. Intell. Syst., 2006)

Design of Adaptive Fuzzy-PI Control with the Aid of Rough Set Theory and Its Application to a HVDC System. - Zhong-Xian Wang; Tae-Chon Ahn (ICIC (1), 2007)

GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process. - Seok-Beom Roh; Sung-Kwun Oh; Tae-Chon Ahn (ISNN (2), 2007)

Fuzzy Combined Polynomial Neural Networks. - Seok-Beom Roh; Tae-Chon Ahn (KES (3), 2007)

IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. - Sung-Kwun Oh; Seok-Beom Roh; Witold Pedrycz; Tae-Chon Ahn (Neurocomputing, 2007)

The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach. - Seok-Beom Roh; Tae-Chon Ahn; Witold Pedrycz (Fuzzy Sets Syst., 2010)

The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors Approach. - Seok-Beom Roh; Tae-Chon Ahn; Witold Pedrycz (IEEE Trans. Instrum. Meas., 2010)

Fuzzy Learning Vector Quantization based on Fuzzy k-Nearest Neighbor Prototypes. - Seok-Beom Roh; Ji-Won Jeong; Tae-Chon Ahn (Int. J. Fuzzy Log. Intell. Syst., 2011)

Fuzzy linear regression based on Polynomial Neural Networks. - Seok-Beom Roh; Tae-Chon Ahn; Witold Pedrycz (Expert Syst. Appl., 2012)

A design of granular fuzzy classifier. - Seok-Beom Roh; Witold Pedrycz; Tae-Chon Ahn (Expert Syst. Appl., 2014)

Design of Radial Basis Function Classifier Based on Polynomial Neural Networks. - Tae-Chon Ahn; Seok-Beom Roh; Zi Long Yin; Yong-Soo Kim (Soft Computing in Artificial Intelligence, 2014)

Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers. - Tae-Chon Ahn; Seok-Beom Roh; Yong-Soo Kim; Jihong Wang (Int. J. Fuzzy Syst., 2019)

Lazy Learning for Nonparametric Locally Weighted Regression. - Seok-Beom Roh; Yong-Soo Kim; Tae-Chon Ahn (Int. J. Fuzzy Log. Intell. Syst., 2020)