Kuo-Ping Lin

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 26

Top Topics

Intuitionistic Fuzzy

Demand Forecasting

Top Venues

Expert Syst. Appl.

Ind. Manag. Data Syst.

Appl. Soft Comput.

Neural Comput. Appl.

Publications

Hsing-Chin Chien, Ting-Yu Lin, Kuo-Ping Lin, Trang Cam Hoang, Hoa Anh Tran, Hsiang-Yun Wang, Hui-Mei Huang, Shyue-Yow Chiou
Developing seasonal z-number regression for waste-disposal forecasting in a Taiwanese hospital. Appl. Soft Comput. 152 (2024)
Wanxing Sheng, Rui Li, Hui Hui, Kuo-Ping Lin, Kung-Ming Lan, Qiying Ren, Lingling Li
Optimal wind power generation system by honey badger algorithm with differential evolution strategies. Appl. Soft Comput. 149 (Part A) (2024)
Yatong Zhou, Xiaoran Kong, Kuo-Ping Lin, Liangyu Liu
Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning. Knowl. Based Syst. 287 (2024)
Guanchen Liu, Jianping Yuan, Kuo-Ping Lin, Yan Miao, Rui Li
Developing an improved chameleon swarm algorithm for combined cooling, heating and power micro-grid system. Expert Syst. Appl. 237 (Part B) (2024)
Kuen-Suan Chen, Ting-Yu Lin, Kuo-Ping Lin, Ping-Teng Chang, Yu-Chen Wang
Developing a Novel Long Short-Term Memory Networks with Seasonal Wavelet Transform for Long-Term Wind Power Output Forecasting. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Pi-Shan Hsu, Chien-Chung Huang, Wei-Ying Sung, Han-Ying Tsai, Zih-Xin Wu, Ting-Yu Lin, Kuo-Ping Lin, Gia-Shie Liu
Optimal adaptive neuro-fuzzy inference system with biogeography-based optimization for numbers of COVID-19 vaccination prediction. J. Intell. Fuzzy Syst. 45 (3) (2023)
Yatong Zhou, Minghui Zhang, Kuo-Ping Lin
Time series forecasting by the novel Gaussian process wavelet self-join adjacent-feedback loop reservoir model. Expert Syst. Appl. 198 (2022)
Hsuan-Yu Chen, Kuo-Ping Lin
Fuzzy supplier selection model based on lifetime performance index. Expert Syst. Appl. 208 (2022)
Chao Fu, Kuo-Ping Lin, Ya-Tong Zhou
Optimal capacity configuration of CCHP system with improved operation strategies using improved multi-objective multi-universe algorithm. Expert Syst. Appl. 199 (2022)
Ting-Yu Lin, Kuo-Chen Hung, Kuo-Ping Lin, Jau-Shin Hon, Anthony Shun Fung Chiu
Improved ELECTRE II sustainability assessment framework in power generation technological evaluation. J. Intell. Fuzzy Syst. 43 (5) (2022)
Kuen-Suan Chen, Kuo-Ping Lin, Li-Ju Lin
fuzzy importance performance analysis with Google Trends. Expert Syst. Appl. 156 (2020)
Lei Dong, Wei-min Li, Ching-Hsin Wang, Kuo-Ping Lin
Gyro motor fault classification model based on a coupled hidden Markov model with a minimum intra-class distance algorithm. J. Syst. Control. Eng. 234 (5) (2020)
Chun-Min Yu, Kuo-Ping Lin, Gia-Shie Liu, Chia-Hao Chang
A Parameterized Intuitionistic Type-2 Fuzzy Inference System with Particle Swarm Optimization. Symmetry 12 (4) (2020)
Gia-Shie Liu, Kuo-Ping Lin
A decision support system of green inventory-routing problem. Ind. Manag. Data Syst. 119 (1) (2019)
Ya-Tong Zhou, Xiangyu Zhao, Kuo-Ping Lin, Ching-Hsin Wang, Ling-Ling Li
A Gaussian process mixture model-based hard-cut iterative learning algorithm for air quality prediction. Appl. Soft Comput. 85 (2019)
Kuo-Ping Lin, Ping-Feng Pai, Yi-Ju Ting
Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed. IEEE Access 7 (2019)
Ling-Ling Li, Jin Sun, Ching-Hsin Wang, Ya-Tong Zhou, Kuo-Ping Lin
Enhanced Gaussian process mixture model for short-term electric load forecasting. Inf. Sci. 477 (2019)
Kuo-Ping Lin, Chun-Min Yu, Kuen-Suan Chen
Production data analysis system using novel process capability indices-based circular economy. Ind. Manag. Data Syst. 119 (8) (2019)
Chung-Han Ho, Ping-Teng Chang, Kuo-Chen Hung, Kuo-Ping Lin
Developing intuitionistic fuzzy seasonality regression with particle swarm optimization for air pollution forecasting. Ind. Manag. Data Syst. 119 (3) (2019)
Ping-Feng Pai, Ling-Chuang Hong, Kuo-Ping Lin
Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model. Comput. Intell. Neurosci. 2018 (2018)
Ling-Ling Li, Yan-Fang Yang, Ching-Hsin Wang, Kuo-Ping Lin
Biogeography-based optimization based on population competition strategy for solving the substation location problem. Expert Syst. Appl. 97 (2018)
Kuo-Ping Lin, Kuo-Chen Hung, Ching-Lin Lin
Rule Generation Based on Novel Kernel Intuitionistic Fuzzy Rough Set Model. IEEE Access 6 (2018)
Ping-Feng Pai, Lan-Hung ChangLiao, Kuo-Ping Lin
Analyzing basketball games by a support vector machines with decision tree model. Neural Comput. Appl. 28 (12) (2017)
Kuo-Ping Lin, Hao-Feng Chang, Tung-Liang Chen, Yu-Ming Lu, Ching-Hsin Wang
Intuitionistic fuzzy C-regression by using least squares support vector regression. Expert Syst. Appl. 64 (2016)
Ping-Feng Pai, Lei-Chun Chen, Kuo-Ping Lin
A hybrid data mining model in analyzing corporate social responsibility. Neural Comput. Appl. 27 (3) (2016)
Chao-Yu Chen, Chin-Hsing Chen, Chao-Ho Chen, Kuo-Ping Lin
An automatic filtering convergence method for iterative impulse noise filters based on PSNR checking and filtered pixels detection. Expert Syst. Appl. 63 (2016)
Ching-Wen Huang, Kuo-Ping Lin, Ming-Chang Wu, Kuo-Chen Hung, Gia-Shie Liu, Chih-Hung Jen
Intuitionistic fuzzy $$c$$ c -means clustering algorithm with neighborhood attraction in segmenting medical image. Soft Comput. 19 (2) (2015)
Kuo-Ping Lin, Kuo-Chen Hung, Ru-Jen Lin
Developing Tω fuzzy DEMATEL method for evaluating green supply chain management practices. FUZZ-IEEE (2014)
Ping-Feng Pai, Kuo-Chen Hung, Kuo-Ping Lin
Tourism demand forecasting using novel hybrid system. Expert Syst. Appl. 41 (8) (2014)
Kuo-Ping Lin
A Novel Evolutionary Kernel Intuitionistic Fuzzy $C$ -means Clustering Algorithm. IEEE Trans. Fuzzy Syst. 22 (5) (2014)
Kuo-Ping Lin
An extended inventory models with trapezoidal type demands. Appl. Math. Comput. 219 (24) (2013)
Ping-Teng Chang, Lung-Ting Hung, Ping-Feng Pai, Kuo-Ping Lin
Improving project-profit prediction using a two-stage forecasting system. Comput. Ind. Eng. 66 (4) (2013)
Kuo-Chen Hung, Kuo-Ping Lin
Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach. Inf. Sci. 224 (2013)
Kuo-Ping Lin, Ping-Feng Pai, Yu-Ming Lu, Ping-Teng Chang
Revenue forecasting using a least-squares support vector regression model in a fuzzy environment. Inf. Sci. 220 (2013)
Kuo-Ping Lin, Hung-Pin Ho, Kuo-Chen Hung, Ping-Feng Pai
Combining fuzzy weight average with fuzzy inference system for material substitution selection in electric industry. Comput. Ind. Eng. 62 (4) (2012)
Kuo-Ping Lin, Kuo-Chen Hung
An efficient fuzzy weighted average algorithm for the military UAV selecting under group decision-making. Knowl. Based Syst. 24 (6) (2011)
Kuo-Ping Lin, Kuo-Chen Hung, Ssu-Ping Lai, Ya-Ting Yu, Pei-Ti Wu
Applying an approximate Tω (the weakest t-norm) fuzzy GERT to evaluate two-unit standby redundant system reliability. ICCS (2011)
Kuo-Ping Lin, Ping-Feng Pai, Shun-Lin Yang
Forecasting concentrations of air pollutants by logarithm support vector regression with immune algorithms. Appl. Math. Comput. 217 (12) (2011)
Kuo-Ping Lin, Kuo-Chen Hung, Ming-Chang Wu
Long-term business cycle forecasting using intuitionistic fuzzy least-squares support vector regression. FUZZ-IEEE (2011)
Chih-Hung Jen, Kuo-Ping Lin, Wu Wen, Chang-Chien Chou
Using LDA with on-line experiment methods for coping with changes in MIMO dynamic model. Expert Syst. Appl. 38 (1) (2011)
Kuo-Chen Hung, Kuo-Ping Lin, Chia-Chun Weng
Fault diagnosis of turbine using an improved intuitionistic fuzzy cross entropy approach. FUZZ-IEEE (2011)
Kuo-Ping Lin, Ming-Jia Wu, Kuo-Chen Hung, Yiyo Kuo
(the weakest t-norm) fuzzy GERT for evaluating uncertain process reliability in semiconductor manufacturing. Appl. Soft Comput. 11 (8) (2011)
Kuo-Ping Lin, Ping-Teng Chang, Kuo-Chen Hung, Ping-Feng Pai
A simulation of vendor managed inventory dynamics using fuzzy arithmetic operations with genetic algorithms. Expert Syst. Appl. 37 (3) (2010)
Kuo-Chen Hung, Kuo-Ping Lin, Gino K. Yang, Yuan-Cheng Tsai
Hybrid Support Vector Regression and GA/TS for Radio-Wave Path-Loss Prediction. ICCCI (1) (2010)
Ping-Feng Pai, Kuo-Ping Lin, Chi-Shen Lin, Ping-Teng Chang
Time series forecasting by a seasonal support vector regression model. Expert Syst. Appl. 37 (6) (2010)
Kuo-Chen Hung, Yuan-Cheng Tsai, Kuo-Ping Lin, Peterson Julian
A Novel Measured Function for MCDM Problem Based on Interval-Valued Intuitionistic Fuzzy Sets. IEICE Trans. Inf. Syst. (11) (2010)
Kuo-Ping Lin, Ping-Feng Pai
A fuzzy support vector regression model for business cycle predictions. Expert Syst. Appl. 37 (7) (2010)
Ping-Teng Chang, Kuo-Ping Lin, Chih-Sheng Lin, Kuo-Chen Hung, Lung-Ting Hung, Ban-Dar Hsu
Developing a Fuzzy Bicluster Regression to Estimate Heat Tolerance in Plants by Chlorophyll Fluorescence. IEEE Trans. Fuzzy Syst. 17 (3) (2009)
Ping-Feng Pai, Kuo-Ping Lin, Ping-Teng Chang
Potential Assessment of an Ellipsoidal Neural Fuzzy Time Series Model for Freeway Traffic Prediction. ICANNGA (1) (2007)
Ping-Teng Chang, Ping-Feng Pai, Kuo-Ping Lin, Ming-Shiu Wu
Applying fuzzy arithmetic to the system dynamics for the customer-producer-employment model. Int. J. Syst. Sci. 37 (10) (2006)
Ping-Teng Chang, Lung-Ting Hung, Kuo-Ping Lin, Chih-Sheng Lin, Kuo-Chen Hung
Protein Sequence Alignment Based on Fuzzy Arithmetic and Genetic Algorithm. FUZZ-IEEE (2006)
Ping-Feng Pai, Kuo-Ping Lin
Application of Hybrid Learning Neural Fuzzy Systems in Reliability Prediction. Qual. Reliab. Eng. Int. 22 (2) (2006)
P.-T. Chang, K.-C. Hung, Kuo-Ping Lin, C.-H. Chang
A Comparison of Discrete Algorithms for Fuzzy Weighted Average. IEEE Trans. Fuzzy Syst. 14 (5) (2006)