Forecasting Tourism Demand Using a Multifactor Support Vector Machine Model. - Ping-Feng Pai; Wei-Chiang Hong; Chih-Sheng Lin (CIS (1), 2005)

Recurrent Support Vector Machines in Reliability Prediction. - Wei-Chiang Hong; Ping-Feng Pai; Chen-Tung Chen; Ping-Teng Chang (ICNC (1), 2005)

Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance. - Wei-Chiang Hong; Ping-Feng Pai; Yuying Huang; Shun-Lin Yang (ICNC (1), 2005)

Forecasting Electric Load by Support Vector Machines with Genetic Algorithms. - Ping-Feng Pai; Wei-Chiang Hong; Chih-Shen Lin (J. Adv. Comput. Intell. Intell. Informatics, 2005)

Highway traffic forecasting by support vector regression model with tabu search algorithms. - Wei-Chiang Hong; Ping-Feng Pai; Shun-Lin Yang; Robert Theng (IJCNN, 2006)

Using Directed Acyclic Graph Support Vector Machines with Tabu Search for Classifying Faulty Product Types. - Ping-Feng Pai; Yuying Huang (ISNN (2), 2006)

Feasibility Assessment of Support Vector Regression Models with Immune Algorithms in Predicting Fatigue Life of Composites. - Ping-Feng Pai; Wei-Chiang Hong; Feng-Min Lai; Jia-Hroung Wu; Shun-Lin Yang (JCIS, 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)

Software reliability forecasting by support vector machines with simulated annealing algorithms. - Ping-Feng Pai; Wei-Chiang Hong (J. Syst. Softw., 2006)

System reliability forecasting by support vector machines with genetic algorithms. - Ping-Feng Pai (Math. Comput. Model., 2006)

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

Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting. - Wei-Chiang Hong; Young-Jou Lai; Ping-Feng Pai; Shao-Lun Lee; Shun-Lin Yang (IEEE Congress on Evolutionary Computation, 2007)

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)

Using Support Vector Machines and Rough Sets Theory for Classifying Faulty Types of Diesel Engine. - Ping-Feng Pai; Yuying Huang (ICCSA (1), 2007)

Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model. - Wei-Chiang Hong; Ping-Feng Pai; Shun-Lin Yang; Chien-Yuan Lai (IWANN, 2007)

Management of Wireless Local Area Networks by Artificial Neural Networks with Principal Components Analysis. - Ping-Feng Pai; Ying-Chieh Chang; Yu-Pin Hu (ACIIDS, 2009)

Rough set theory with discriminant analysis in analyzing electricity loads. - Ping-Feng Pai; Tai-Chi Chen (Expert Syst. Appl., 2009)

Forecasting output of integrated circuit industry by support vector regression models with marriage honey-bees optimization algorithms. - Ping-Feng Pai; Shun-Lin Yang; Ping-Teng Chang (Expert Syst. Appl., 2009)

Computer-assisted audit techniques based on an enhanced rough set model. - Ping-Feng Pai; Ming-Fu Hsu; Ming-Chieh Wang (NCM, 2010)

Analyzing academic achievement of junior high school students by an improved rough set model. - Ping-Feng Pai; Yi-Jia Lyu; Yu-Min Wang (Comput. Educ., 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)

Analyzing foreign exchange rates by rough set theory and directed acyclic graph support vector machines. - Ping-Feng Pai; Shi-Yu Chen; Chao-Wei Huang; Ya-Hsin Chang (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)

An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection. - Chen-Tung Chen; Ping-Feng Pai; Wei-Zhan Hung (Int. J. Comput. Intell. Syst., 2010)

An improved support vector machines model in medical data analysis. - Hsin-Hua Chen; Ping-Feng Pai; Ying-Zhieh Cho; Fong-Chuan Lee; Jachih Fu (Int. J. Math. Model. Numer. Optimisation, 2010)

Applying multi-criteria decision classifier in multi-class classification. - Chen-Tung Chen; Ping-Feng Pai; Wei-Zhan Hung (FSKD, 2011)

Handling fuzzy decision making problem based on linguistic information and intersection concept. - Chen-Tung Chen; Ping-Feng Pai; Wei-Zhan Hung (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)

A hybrid kernel principal component analysis and support vector machine model for analysing sonographic features of parotid glands in Sjogren's syndrome. - Ping-Feng Pai; Ya-Hsin Chang; Ming-Fu Hsu; Jachih Fu; Hsin-Hua Chen (Int. J. Math. Model. Numer. Optimisation, 2011)

A support vector machine-based model for detecting top management fraud. - Ping-Feng Pai; Ming-Fu Hsu; Ming-Chieh Wang (Knowl. Based Syst., 2011)

An Enhanced Support Vector Machines Model for Classification and Rule Generation. - Ping-Feng Pai; Ming-Fu Hsu (Computational Optimization, Methods and Algorithms, 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)

Extending the strategy game from multi-criteria considerations with linguistic variables. - Chen-Tung Chen; Ping-Feng Pai; Wei-Zhan Hung (FSKD, 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)

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)

Deal with Linguistic Multi-Criteria Decision Making Problem Based on Sequential Multi-person Game Methodology. - Chen-Tung Chen; Ping-Feng Pai; Wei-Zhan Hung (IEA/AIE (1), 2014)

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

Applying linguistic information and intersection concept to improve effectiveness of multi-criteria decision analysis technology. - Ping-Feng Pai; Chen-Tung Chen; Wei-Zhan Hung (Int. J. Inf. Technol. Decis. Mak., 2014)

A group decision classifier with particle swarm optimization and decision tree for analyzing achievements in mathematics and science. - Ping-Feng Pai; Chen-Tung Chen; Yu-Mei Hung; Wei-Zhan Hung; Ying-Chieh Chang (Neural Comput. Appl., 2014)

Enhancing decisions with life cycle analysis for risk management. - Ping-Feng Pai; Ming-Fu Hsu; Lin Lin (Neural Comput. Appl., 2014)

Credit Rating Analysis by the Decision-Tree Support Vector Machine with Ensemble Strategies. - Ping-Feng Pai; Yi-Shien Tan; Ming-Fu Hsu (Int. J. Fuzzy Syst., 2015)

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)

Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values. - Ping-Feng Pai; Chia-Hsin Liu (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)

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

Using the Least Squares Support Vector Regression to Forecast Movie Sales with Data from Twitter and Movie Databases. - Yi-Ting Huang; Ping-Feng Pai (Symmetry, 2020)

Forecasting inflation rates be extreme gradient boosting with the genetic algorithm. - Yu-Shan Li; Ping-Feng Pai; Ying-Lei Lin (J. Ambient Intell. Humaniz. Comput., 2023)