Protein Sequence Alignment Based on Fuzzy Arithmetic and Genetic Algorithm. - Ping-Teng Chang; Lung-Ting Hung; Kuo-Ping Lin; Chih-Sheng Lin; Kuo-Chen Hung (FUZZ-IEEE, 2006)

Applying fuzzy arithmetic to the system dynamics for the customer-producer-employment model. - Ping-Teng Chang; Ping-Feng Pai; Kuo-Ping Lin; Ming-Shiu Wu (Int. J. Syst. Sci., 2006)

Application of Hybrid Learning Neural Fuzzy Systems in Reliability Prediction. - Ping-Feng Pai; Kuo-Ping Lin (Qual. Reliab. Eng. Int., 2006)

A Comparison of Discrete Algorithms for Fuzzy Weighted Average. - Ping-Teng Chang; Kuo-Chen Hung; Kuo-Ping Lin; Ching-Hsiang Chang (IEEE Trans. Fuzzy Syst., 2006)

Potential Assessment of an Ellipsoidal Neural Fuzzy Time Series Model for Freeway Traffic Prediction. - Ping-Feng Pai; Kuo-Ping Lin; Ping-Teng Chang (ICANNGA (1), 2007)

Developing a Fuzzy Bicluster Regression to Estimate Heat Tolerance in Plants by Chlorophyll Fluorescence. - Ping-Teng Chang; Kuo-Ping Lin; Chih-Sheng Lin; Kuo-Chen Hung; Lung-Ting Hung; Ban-Dar Hsu (IEEE Trans. Fuzzy Syst., 2009)

Hybrid Support Vector Regression and GA/TS for Radio-Wave Path-Loss Prediction. - Kuo-Chen Hung; Kuo-Ping Lin; Gino K. Yang; Yuan-Cheng Tsai (ICCCI (1), 2010)

A simulation of vendor managed inventory dynamics using fuzzy arithmetic operations with genetic algorithms. - Kuo-Ping Lin; Ping-Teng Chang; Kuo-Chen Hung; Ping-Feng Pai (Expert Syst. Appl., 2010)

A fuzzy support vector regression model for business cycle predictions. - Kuo-Ping Lin; Ping-Feng Pai (Expert Syst. Appl., 2010)

Time series forecasting by a seasonal support vector regression model. - Ping-Feng Pai; Kuo-Ping Lin; Chi-Shen Lin; Ping-Teng Chang (Expert Syst. Appl., 2010)

A Novel Measured Function for MCDM Problem Based on Interval-Valued Intuitionistic Fuzzy Sets. - Kuo-Chen Hung; Yuan-Cheng Tsai; Kuo-Ping Lin; Peterson Julian (IEICE Trans. Inf. Syst., 2010)

Fault diagnosis of turbine using an improved intuitionistic fuzzy cross entropy approach. - Kuo-Chen Hung; Kuo-Ping Lin; Chia-Chun Weng (FUZZ-IEEE, 2011)

Long-term business cycle forecasting using intuitionistic fuzzy least-squares support vector regression. - Kuo-Ping Lin; Kuo-Chen Hung; Ming-Chang Wu (FUZZ-IEEE, 2011)

Forecasting concentrations of air pollutants by logarithm support vector regression with immune algorithms. - Kuo-Ping Lin; Ping-Feng Pai; Shun-Lin Yang (Appl. Math. Comput., 2011)

Developing a Tω (the weakest t-norm) fuzzy GERT for evaluating uncertain process reliability in semiconductor manufacturing. - Kuo-Ping Lin; Ming-Jia Wu; Kuo-Chen Hung; Yiyo Kuo (Appl. Soft Comput., 2011)

Using LDA with on-line experiment methods for coping with changes in MIMO dynamic model. - Chih-Hung Jen; Kuo-Ping Lin; Wu Wen; Chang-Chien Chou (Expert Syst. Appl., 2011)

An efficient fuzzy weighted average algorithm for the military UAV selecting under group decision-making. - Kuo-Ping Lin; Kuo-Chen Hung (Knowl. Based Syst., 2011)

Applying an approximate Tω (the weakest t-norm) fuzzy GERT to evaluate two-unit standby redundant system reliability. - Kuo-Ping Lin; Kuo-Chen Hung; Ssu-Ping Lai; Ya-Ting Yu; Pei-Ti Wu (ICCS, 2011)

Combining fuzzy weight average with fuzzy inference system for material substitution selection in electric industry. - Kuo-Ping Lin; Hung-Pin Ho; Kuo-Chen Hung; Ping-Feng Pai (Comput. Ind. Eng., 2012)

An extended inventory models with trapezoidal type demands. - Kuo-Ping Lin (Appl. Math. Comput., 2013)

Improving project-profit prediction using a two-stage forecasting system. - Ping-Teng Chang; Lung-Ting Hung; Ping-Feng Pai; Kuo-Ping Lin (Comput. Ind. Eng., 2013)

Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach. - Kuo-Chen Hung; Kuo-Ping Lin (Inf. Sci., 2013)

Revenue forecasting using a least-squares support vector regression model in a fuzzy environment. - Kuo-Ping Lin; Ping-Feng Pai; Yu-Ming Lu; Ping-Teng Chang (Inf. Sci., 2013)

Developing Tω fuzzy DEMATEL method for evaluating green supply chain management practices. - Kuo-Ping Lin; Kuo-Chen Hung; Ru-Jen Lin (FUZZ-IEEE, 2014)

Tourism demand forecasting using novel hybrid system. - Ping-Feng Pai; Kuo-Chen Hung; Kuo-Ping Lin (Expert Syst. Appl., 2014)

A Novel Evolutionary Kernel Intuitionistic Fuzzy $C$ -means Clustering Algorithm. - Kuo-Ping Lin (IEEE Trans. Fuzzy Syst., 2014)

Intuitionistic fuzzy $$c$$ c -means clustering algorithm with neighborhood attraction in segmenting medical image. - Ching-Wen Huang; Kuo-Ping Lin; Ming-Chang Wu; Kuo-Chen Hung; Gia-Shie Liu; Chih-Hung Jen (Soft Comput., 2015)

An automatic filtering convergence method for iterative impulse noise filters based on PSNR checking and filtered pixels detection. - Chao-Yu Chen; Chin-Hsing Chen; Chao-Ho Chen; Kuo-Ping Lin (Expert Syst. Appl., 2016)

Intuitionistic fuzzy C-regression by using least squares support vector regression. - Kuo-Ping Lin; Hao-Feng Chang; Tung-Liang Chen; Yu-Ming Lu; Ching-Hsin Wang (Expert Syst. Appl., 2016)

A hybrid data mining model in analyzing corporate social responsibility. - Ping-Feng Pai; Lei-Chun Chen; Kuo-Ping Lin (Neural Comput. Appl., 2016)

Analyzing basketball games by a support vector machines with decision tree model. - Ping-Feng Pai; Lan-Hung ChangLiao; Kuo-Ping Lin (Neural Comput. Appl., 2017)

Rule Generation Based on Novel Kernel Intuitionistic Fuzzy Rough Set Model. - Kuo-Ping Lin; Kuo-Chen Hung; Ching-Lin Lin (IEEE Access, 2018)

Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model. - Ping-Feng Pai; Ling-Chuang Hong; Kuo-Ping Lin (Comput. Intell. Neurosci., 2018)

Biogeography-based optimization based on population competition strategy for solving the substation location problem. - Ling-Ling Li 001; Yan-Fang Yang; Ching-Hsin Wang; Kuo-Ping Lin (Expert Syst. Appl., 2018)

Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed. - Kuo-Ping Lin; Ping-Feng Pai; Yi-Ju Ting (IEEE Access, 2019)

A Gaussian process mixture model-based hard-cut iterative learning algorithm for air quality prediction. - Ya-Tong Zhou; Xiangyu Zhao; Kuo-Ping Lin; Ching-Hsin Wang; Ling-Ling Li 001 (Appl. Soft Comput., 2019)

Developing intuitionistic fuzzy seasonality regression with particle swarm optimization for air pollution forecasting. - Chung-Han Ho; Ping-Teng Chang; Kuo-Chen Hung; Kuo-Ping Lin (Ind. Manag. Data Syst., 2019)

Production data analysis system using novel process capability indices-based circular economy. - Kuo-Ping Lin; Chun-Min Yu; Kuen-Suan Chen (Ind. Manag. Data Syst., 2019)

A decision support system of green inventory-routing problem. - Gia-Shie Liu; Kuo-Ping Lin (Ind. Manag. Data Syst., 2019)

Enhanced Gaussian process mixture model for short-term electric load forecasting. - Ling-Ling Li 001; Jin Sun 009; Ching-Hsin Wang; Ya-Tong Zhou; Kuo-Ping Lin (Inf. Sci., 2019)

Evaluating the environmental protection strategy of a printed circuit board manufacturer using a Tw fuzzy importance performance analysis with Google Trends. - Kuen-Suan Chen; Kuo-Ping Lin; Li-Ju Lin (Expert Syst. Appl., 2020)

Gyro motor fault classification model based on a coupled hidden Markov model with a minimum intra-class distance algorithm. - Lei Dong; Weimin Li; Ching-Hsin Wang; Kuo-Ping Lin (J. Syst. Control. Eng., 2020)

A Parameterized Intuitionistic Type-2 Fuzzy Inference System with Particle Swarm Optimization. - Chun-Min Yu; Kuo-Ping Lin; Gia-Shie Liu; Chia-Hao Chang (Symmetry, 2020)

Fuzzy supplier selection model based on lifetime performance index. - Hsuan-Yu Chen; Kuo-Ping Lin (Expert Syst. Appl., 2022)

Optimal capacity configuration of CCHP system with improved operation strategies using improved multi-objective multi-universe algorithm. - Chao Fu; Kuo-Ping Lin; Ya-Tong Zhou (Expert Syst. Appl., 2022)

Time series forecasting by the novel Gaussian process wavelet self-join adjacent-feedback loop reservoir model. - Yatong Zhou; Minghui Zhang; Kuo-Ping Lin (Expert Syst. Appl., 2022)

Improved ELECTRE II sustainability assessment framework in power generation technological evaluation. - Ting-Yu Lin; Kuo-Chen Hung; Kuo-Ping Lin; Jau-Shin Hon; Anthony Shun Fung Chiu (J. Intell. Fuzzy Syst., 2022)

Optimal adaptive neuro-fuzzy inference system with biogeography-based optimization for numbers of COVID-19 vaccination prediction. - Pi-Shan Hsu; Chien-Chung Huang 005; Wei-Ying Sung; Han-Ying Tsai; Zih-Xin Wu; Ting-Yu Lin; Kuo-Ping Lin; Gia-Shie Liu (J. Intell. Fuzzy Syst., 2023)

Developing a Novel Long Short-Term Memory Networks with Seasonal Wavelet Transform for Long-Term Wind Power Output Forecasting. - Kuen-Suan Chen; Ting-Yu Lin; Kuo-Ping Lin; Ping-Teng Chang; Yu-Chen Wang (Int. J. Comput. Intell. Syst., 2023)

Developing seasonal z-number regression for waste-disposal forecasting in a Taiwanese hospital. - Hsing-Chin Chien; Ting-Yu Lin; Kuo-Ping Lin; Trang Cam Hoang; Hoa Anh Tran; Hsiang-Yun Wang; Hui-Mei Huang; Shyue-Yow Chiou (Appl. Soft Comput., 2024)

Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning. - Yatong Zhou; Xiaoran Kong; Kuo-Ping Lin; Liangyu Liu (Knowl. Based Syst., 2024)

Developing an improved chameleon swarm algorithm for combined cooling, heating and power micro-grid system. - Guanchen Liu; Jianping Yuan; Kuo-Ping Lin; Yan Miao; Rui Li (Expert Syst. Appl., 2024)

USuperGlue: an unsupervised UAV image matching network based on local self-attention. - Yatong Zhou; Ya Guo; Kuo-Ping Lin; Fan Yang; Lingling Li 001 (Soft Comput., 2024)

Optimal wind power generation system by honey badger algorithm with differential evolution strategies. - Wanxing Sheng; Rui Li; Hui Hui; Kuo-Ping Lin; Kung-Ming Lan; Qiying Ren; Lingling Li 001 (Appl. Soft Comput., 2024)

Developing YOLOv5s model with enhancement mechanisms for precision parts with irregular shapes. - Lei Dong; Haojie Zhu; Hanpeng Ren; Ting-Yu Lin; Kuo-Ping Lin (Adv. Eng. Informatics, 2025)

Evaluating infant development through a novel hybrid intuitionistic fuzzy classification system. - Ya-Chi Hsu; Ting-Yu Lin; Kuo-Ping Lin; Yu-Tse Tsan; Kuo-Chen Hung (Appl. Soft Comput., 2025)

Classification method for nailfold capillary images using an optimized sugeno fuzzy ensemble of convolutional neural networks. - Chiao-Chi Ou; Yun-Chi Liu; Kuo-Ping Lin; Tsai-Hung Yen; Wen-Nan Huang (Comput. Biol. Medicine, 2025)

A novel lightweight MT-YOLO detection model for identifying defects in permanent magnet tiles of electric vehicle motors. - Lei Dong; Haojie Zhu; Hanpeng Ren; Ting-Yu Lin; Kuo-Ping Lin (Expert Syst. Appl., 2025)