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Journal Articles
- 2024
[j47]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): 110953 (2024)- [j46]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: 111196 (2024) - [j45]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): 121540 (2024) - [j44]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: 111462 (2024) - [j43]Yatong Zhou, Ya Guo, Kuo-Ping Lin, Fan Yang, Lingling Li:
USuperGlue: an unsupervised UAV image matching network based on local self-attention. Soft Comput. 28(15-16): 8889-8909 (2024) - 2023
- [j42]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): 191 (2023) - [j41]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): 4639-4650 (2023) - 2022
- [j40]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: 116772 (2022) - [j39]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: 117183 (2022) - [j38]Hsuan-Yu Chen, Kuo-Ping Lin:
Fuzzy supplier selection model based on lifetime performance index. Expert Syst. Appl. 208: 118135 (2022) - [j37]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): 6405-6418 (2022) - 2020
- [j36]Kuen-Suan Chen, Kuo-Ping Lin, Li-Ju Lin:
Evaluating the environmental protection strategy of a printed circuit board manufacturer using a Tw fuzzy importance performance analysis with Google Trends. Expert Syst. Appl. 156: 113483 (2020) - [j35]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) - [j34]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): 562 (2020) - 2019
- [j33]Kuo-Ping Lin, Ping-Feng Pai, Yi-Ju Ting:
Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed. IEEE Access 7: 99244-99253 (2019) - [j32]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) - [j31]Gia-Shie Liu, Kuo-Ping Lin:
A decision support system of green inventory-routing problem. Ind. Manag. Data Syst. 119(1): 89-110 (2019) - [j30]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): 561-577 (2019) - [j29]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): 1655-1668 (2019) - [j28]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: 386-398 (2019) - 2018
- [j27]Kuo-Ping Lin, Kuo-Chen Hung, Ching-Lin Lin:
Rule Generation Based on Novel Kernel Intuitionistic Fuzzy Rough Set Model. IEEE Access 6: 11953-11958 (2018) - [j26]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: 6305246:1-6305246:15 (2018) - [j25]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: 290-302 (2018) - 2017
- [j24]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): 4159-4167 (2017) - 2016
- [j23]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: 198-207 (2016) - [j22]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: 296-304 (2016) - [j21]Ping-Feng Pai, Lei-Chun Chen, Kuo-Ping Lin:
A hybrid data mining model in analyzing corporate social responsibility. Neural Comput. Appl. 27(3): 749-760 (2016) - 2015
- [j20]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): 459-470 (2015) - 2014
- [j19]Ping-Feng Pai, Kuo-Chen Hung, Kuo-Ping Lin:
Tourism demand forecasting using novel hybrid system. Expert Syst. Appl. 41(8): 3691-3702 (2014) - [j18]Kuo-Ping Lin:
A Novel Evolutionary Kernel Intuitionistic Fuzzy $C$ -means Clustering Algorithm. IEEE Trans. Fuzzy Syst. 22(5): 1074-1087 (2014) - 2013
- [j17]Kuo-Ping Lin:
An extended inventory models with trapezoidal type demands. Appl. Math. Comput. 219(24): 11414-11419 (2013) - [j16]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): 800-807 (2013) - [j15]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: 196-209 (2013) - [j14]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: 37-48 (2013) - 2012
- [j13]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): 1034-1045 (2012) - 2011
- [j12]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): 5318-5327 (2011) - [j11]Kuo-Ping Lin, Ming-Jia Wu, Kuo-Chen Hung, Yiyo Kuo:
Developing a Tω (the weakest t-norm) fuzzy GERT for evaluating uncertain process reliability in semiconductor manufacturing. Appl. Soft Comput. 11(8): 5165-5180 (2011) - [j10]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): 983-989 (2011) - [j9]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): 877-889 (2011) - 2010
- [j8]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): 2571-2579 (2010) - [j7]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): 4261-4265 (2010) - [j6]Kuo-Ping Lin, Ping-Feng Pai:
A fuzzy support vector regression model for business cycle predictions. Expert Syst. Appl. 37(7): 5430-5435 (2010) - [j5]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. 93-D(11): 3059-3065 (2010) - 2009
- [j4]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): 485-504 (2009) - 2006
- [j3]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): 673-698 (2006) - [j2]Ping-Feng Pai, Kuo-Ping Lin:
Application of Hybrid Learning Neural Fuzzy Systems in Reliability Prediction. Qual. Reliab. Eng. Int. 22(2): 199-211 (2006) - [j1]Ping-Teng Chang, Kuo-Chen Hung, Kuo-Ping Lin, Ching-Hsiang Chang:
A Comparison of Discrete Algorithms for Fuzzy Weighted Average. IEEE Trans. Fuzzy Syst. 14(5): 663-675 (2006)
Conference and Workshop Papers
- 2014
- [c7]Kuo-Ping Lin, Kuo-Chen Hung, Ru-Jen Lin:
Developing Tω fuzzy DEMATEL method for evaluating green supply chain management practices. FUZZ-IEEE 2014: 1422-1427 - 2011
- [c6]Kuo-Chen Hung, Kuo-Ping Lin, Chia-Chun Weng:
Fault diagnosis of turbine using an improved intuitionistic fuzzy cross entropy approach. FUZZ-IEEE 2011: 590-594 - [c5]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: 2495-2499 - [c4]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: 1326-1335 - 2010
- [c3]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: 243-251 - 2007
- [c2]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: 631-639 - 2006
- [c1]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: 1362-1367
Coauthor Index
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