Ping-Feng Pai

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 8

Top Topics

Decision Making

Linguistic Variables

Top Venues

Neural Comput. Appl.

Comput. Intell. Neurosci.

Int. J. Fuzzy Syst.

Publications

Yu-Shan Li, Ping-Feng Pai, Ying-Lei Lin
Forecasting inflation rates be extreme gradient boosting with the genetic algorithm. J. Ambient Intell. Humaniz. Comput. 14 (3) (2023)
Yi-Ting Huang, Ping-Feng Pai
Using the Least Squares Support Vector Regression to Forecast Movie Sales with Data from Twitter and Movie Databases. Symmetry 12 (4) (2020)
Kuo-Ping Lin, Ping-Feng Pai, Yi-Ju Ting
Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed. IEEE Access 7 (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)
Ping-Feng Pai, Chia-Hsin Liu
Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values. 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)
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)
Ping-Feng Pai, Yi-Shien Tan, Ming-Fu Hsu
Credit Rating Analysis by the Decision-Tree Support Vector Machine with Ensemble Strategies. Int. J. Fuzzy Syst. 17 (4) (2015)
Chen-Tung Chen, Ping-Feng Pai, Wei-Zhan Hung
Deal with Linguistic Multi-Criteria Decision Making Problem Based on Sequential Multi-person Game Methodology. IEA/AIE (1) (2014)
Ping-Feng Pai, Ming-Fu Hsu, Lin Lin
Enhancing decisions with life cycle analysis for risk management. Neural Comput. Appl. 24 (7-8) (2014)
Ping-Feng Pai, Chen-Tung Chen, Yu-Mei Hung, Wei-Zhan Hung, Ying-Chieh Chang
A group decision classifier with particle swarm optimization and decision tree for analyzing achievements in mathematics and science. Neural Comput. Appl. 25 (7-8) (2014)
Ping-Feng Pai, Kuo-Chen Hung, Kuo-Ping Lin
Tourism demand forecasting using novel hybrid system. Expert Syst. Appl. 41 (8) (2014)
Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung
Applying linguistic information and intersection concept to improve effectiveness of multi-criteria decision analysis technology. Int. J. Inf. Technol. Decis. Mak. 13 (2) (2014)
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-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)
Chen-Tung Chen, Ping-Feng Pai, Wei-Zhan Hung
Extending the strategy game from multi-criteria considerations with linguistic variables. FSKD (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)
Chen-Tung Chen, Ping-Feng Pai, Wei-Zhan Hung
Handling fuzzy decision making problem based on linguistic information and intersection concept. FUZZ-IEEE (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)
Ping-Feng Pai, Ya-Hsin Chang, Ming-Fu Hsu, Jachih Fu, Hsin-Hua Chen
A hybrid kernel principal component analysis and support vector machine model for analysing sonographic features of parotid glands in Sjogren's syndrome. Int. J. Math. Model. Numer. Optimisation 2 (1) (2011)
Chen-Tung Chen, Ping-Feng Pai, Wei-Zhan Hung
Applying multi-criteria decision classifier in multi-class classification. FSKD (2011)
Ping-Feng Pai, Ming-Fu Hsu, Ming-Chieh Wang
A support vector machine-based model for detecting top management fraud. Knowl. Based Syst. 24 (2) (2011)
Ping-Feng Pai, Yi-Jia Lyu, Yu-Min Wang
Analyzing academic achievement of junior high school students by an improved rough set model. Comput. Educ. 54 (4) (2010)
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)
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)
Hsin-Hua Chen, Ping-Feng Pai, Ying-Zhieh Cho, Fong-Chuan Lee, Jachih Fu
An improved support vector machines model in medical data analysis. Int. J. Math. Model. Numer. Optimisation 1 (3) (2010)
Ping-Feng Pai, Ming-Fu Hsu, Ming-Chieh Wang
Computer-assisted audit techniques based on an enhanced rough set model. NCM (2010)
Kuo-Ping Lin, Ping-Feng Pai
A fuzzy support vector regression model for business cycle predictions. Expert Syst. Appl. 37 (7) (2010)
Ping-Feng Pai, Shi-Yu Chen, Chao-Wei Huang, Ya-Hsin Chang
Analyzing foreign exchange rates by rough set theory and directed acyclic graph support vector machines. Expert Syst. Appl. 37 (8) (2010)
Chen-Tung Chen, Ping-Feng Pai, Wei-Zhan Hung
An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection. Int. J. Comput. Intell. Syst. 3 (4) (2010)
Ping-Feng Pai, Ying-Chieh Chang, Yu-Pin Hu
Management of Wireless Local Area Networks by Artificial Neural Networks with Principal Components Analysis. ACIIDS (2009)
Ping-Feng Pai, Tai-Chi Chen
Rough set theory with discriminant analysis in analyzing electricity loads. Expert Syst. Appl. 36 (5) (2009)
Ping-Feng Pai, Shun-Lin Yang, Ping-Teng Chang
Forecasting output of integrated circuit industry by support vector regression models with marriage honey-bees optimization algorithms. Expert Syst. Appl. 36 (7) (2009)
Wei-Chiang Hong, Young-Jou Lai, Ping-Feng Pai, Shao-Lun Lee, Shun-Lin Yang
Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting. IEEE Congress on Evolutionary Computation (2007)
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)
Wei-Chiang Hong, Ping-Feng Pai, Shun-Lin Yang, Chien-Yuan Lai
Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model. IWANN (2007)
Ping-Feng Pai, Yuying Huang
Using Support Vector Machines and Rough Sets Theory for Classifying Faulty Types of Diesel Engine. ICCSA (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-Feng Pai, Wei-Chiang Hong, Feng-Min Lai, Jia-Hroung Wu, Shun-Lin Yang
Feasibility Assessment of Support Vector Regression Models with Immune Algorithms in Predicting Fatigue Life of Composites. JCIS (2006)
Wei-Chiang Hong, Ping-Feng Pai, Shun-Lin Yang, Robert Theng
Highway traffic forecasting by support vector regression model with tabu search algorithms. IJCNN (2006)
Ping-Feng Pai, Kuo-Ping Lin
Application of Hybrid Learning Neural Fuzzy Systems in Reliability Prediction. Qual. Reliab. Eng. Int. 22 (2) (2006)
Ping-Feng Pai, Yuying Huang
Using Directed Acyclic Graph Support Vector Machines with Tabu Search for Classifying Faulty Product Types. ISNN (2) (2006)
Ping-Feng Pai, Wei-Chiang Hong
Software reliability forecasting by support vector machines with simulated annealing algorithms. J. Syst. Softw. 79 (6) (2006)
Ping-Feng Pai
System reliability forecasting by support vector machines with genetic algorithms. Math. Comput. Model. 43 (3-4) (2006)
Wei-Chiang Hong, Ping-Feng Pai, Chen-Tung Chen, Ping-Teng Chang
Recurrent Support Vector Machines in Reliability Prediction. ICNC (1) (2005)
Ping-Feng Pai, Wei-Chiang Hong, Chih-Shen Lin
Forecasting Electric Load by Support Vector Machines with Genetic Algorithms. J. Adv. Comput. Intell. Intell. Informatics 9 (2) (2005)
Ping-Feng Pai, Wei-Chiang Hong, Chih-Sheng Lin
Forecasting Tourism Demand Using a Multifactor Support Vector Machine Model. CIS (1) (2005)
Wei-Chiang Hong, Ping-Feng Pai, Yuying Huang, Shun-Lin Yang
Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance. ICNC (1) (2005)