Ping-Feng Pai

发表

Applying Least Squares Support Vector Regression with Genetic Algorithms for Radio-Wave Path-Loss Prediction in Suburban Environment

Ping-Feng Pai, Kuo-Ping Lin, Kuo-Chen Hung, 2010 .

Highway traffic forecasting by support vector regression model with tabu search algorithms

Ping-Feng Pai, Wei-Chiang Hong, Shun-Lin Yang, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Forecasting output of integrated circuit industry by support vector regression models with marriage honey-bees optimization algorithms

Ping-Feng Pai, Ping-Teng Chang, Shun-Lin Yang, 2009, Expert Syst. Appl..

A simulation of vendor managed inventory dynamics using fuzzy arithmetic operations with genetic algorithms

Ping-Feng Pai, Ping-Teng Chang, Kuo-Chen Hung, 2010, Expert Syst. Appl..

Forecasting Electric Load by Support Vector Machines with Genetic Algorithms

Ping-Feng Pai, Wei-Chiang Hong, Chih-Shen Lin, 2005, J. Adv. Comput. Intell. Intell. Informatics.

System reliability forecasting by support vector machines with genetic algorithms

Ping-Feng Pai, Ping-Feng Pai, 2006, Math. Comput. Model..

Enhancing decisions with life cycle analysis for risk management

Ping-Feng Pai, Ming-Fu Hsu, Lin Lin, 2013, Neural Computing and Applications.

Forecasting concentrations of air pollutants by logarithm support vector regression with immune algorithms

Ping-Feng Pai, Shun-Lin Yang, Kuo-Ping Lin, 2011, Appl. Math. Comput..

Predicting engine reliability by support vector machines

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2006 .

Extending the strategy game from multi-criteria considerations with linguistic variables

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2013, 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Handling fuzzy decision making problem based on linguistic information and intersection concept

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

A neuro-fuzzy approach in parts clustering

Ping-Feng Pai, 2000, PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500).

Improving project-profit prediction using a two-stage forecasting system

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2013, Comput. Ind. Eng..

Using ADABOOST and Rough Set Theory for Predicting Debris Flow Disaster

Ping-Feng Pai, Wei-Zhan Hung, Kuo-Ping Lin, 2014, Water Resources Management.

Potential assessment of the support vector regression technique in rainfall forecasting

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2007 .

Tourism demand forecasting using novel hybrid system

Ping-Feng Pai, Kuo-Chen Hung, Kuo-Ping Lin, 2014, Expert Syst. Appl..

Potential Assessment of an Ellipsoidal Neural Fuzzy Time Series Model for Freeway Traffic Prediction

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2007, ICANNGA.

Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model

Ping-Feng Pai, Kuo-Ping Lin, Ling-Chuang Hong, 2018, Comput. Intell. Neurosci..

Analyzing basketball games by a support vector machines with decision tree model

Ping-Feng Pai, Kuo-Ping Lin, Lan-Hung ChangLiao, 2017, Neural Computing and Applications.

Ant colony optimization system for a multi-quantitative and qualitative objective job-shop parallel-machine-scheduling problem

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2008 .

Using support vector machines to forecast the production values of the machinery industry in Taiwan

Ping-Feng Pai, Chih-Sheng Lin, Ping-Feng Pai, 2005 .

Hybrid ellipsoidal fuzzy systems in forecasting regional electricity loads

Ping-Feng Pai, Ping-Feng Pai, 2006 .

Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance

Ping-Feng Pai, Wei-Chiang Hong, Shun-Lin Yang, 2005, ICNC.

Support Vector Machines with Simulated Annealing Algorithms in Electricity Load Forecasting

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2005 .

An Enhanced Support Vector Machines Model for Classification and Rule Generation

Ping-Feng Pai, Ming-Fu Hsu, Ping-Feng Pai, 2011, Computational Optimization, Methods and Algorithms.

A hybrid data mining model in analyzing corporate social responsibility

Ping-Feng Pai, Kuo-Ping Lin, Lei-Chun Chen, 2015, Neural Computing and Applications.

Incorporating support vector machines with multiple criteria decision making for financial crisis analysis

Ping-Feng Pai, Ming-Fu Hsu, Ping-Feng Pai, 2012, Quality & Quantity.

Time series forecasting by a seasonal support vector regression model

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2010, Expert Syst. Appl..

A daily production model for wafer fabrication

Ping-Feng Pai, Ching-En Lee, Tzu-Haw Su, 2004 .

Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed

Ping-Feng Pai, Kuo-Ping Lin, Yi-Ju Ting, 2019, IEEE Access.

Using Support Vector Machines and Rough Sets Theory for Classifying Faulty Types of Diesel Engine

Ping-Feng Pai, Yu-Ying Huang, 2007, ICCSA.

GROUP MCDM METHOD WITH ALTERNATIVE VOTING SYSTEM BASED ON MULTI-INFORMATION ENVIRONMENT

Ping-Feng Pai, Chun-Che Huang, Chen-Tung Chen, 2012 .

STOCK PRICE FORECASTING IN TAIWAN USING ELLIPSOIDAL FUZZY SYSTEM

Ping-Feng Pai, Kuo-Ping Lin, J. S. Wang, 2004 .

A support vector machine-based model for detecting top management fraud

Ping-Feng Pai, Ming-Fu Hsu, Ming-Chieh Wang, 2011, Knowl. Based Syst..

A New Decision-Making Process for Selecting Project Leader Based on Social Network and Knowledge Map

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2013 .

A GREY PREDICTION MODEL WITH FACTOR ANALYSIS TECHNIQUE

Ping-Feng Pai, Yen-Hung Lin, J. S. Wang, 2004 .

A recurrent support vector regression model in rainfall forecasting

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2007 .

Applying multi-criteria decision classifier in multi-class classification

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

A group decision classifier with particle swarm optimization and decision tree for analyzing achievements in mathematics and science

Ping-Feng Pai, Ying-Chieh Chang, Chen-Tung Chen, 2014, Neural Computing and Applications.

Software reliability forecasting by support vector machines with simulated annealing algorithms

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2006, J. Syst. Softw..

An improved support vector machines model in medical data analysis

Ping-Feng Pai, Hsin-Hua Chen, Jachih Fu, 2010, Int. J. Math. Model. Numer. Optimisation.

Application of Hybrid Learning Neural Fuzzy Systems in Reliability Prediction

Ping-Feng Pai, Kuo-Ping Lin, Ping-Feng Pai, 2006, Qual. Reliab. Eng. Int..

Recurrent Support Vector Machines in Reliability Prediction

Ping-Feng Pai, Wei-Chiang Hong, Chen-Tung Chen, 2005, ICNC.

Diagnosing Faulty Products in TFT-LCD Manufacturing Processes by Support Vector Machines with Principal Components Analysis

Ping-Feng Pai, Kuo-Ping Lin, Tzung-Min Wu, 2009, 2009 WRI Global Congress on Intelligent Systems.

Combining fuzzy weight average with fuzzy inference system for material substitution selection in electric industry

Ping-Feng Pai, Kuo-Chen Hung, Kuo-Ping Lin, 2012, Comput. Ind. Eng..

An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2010, Int. J. Comput. Intell. Syst..

Feasibility Assessment of Support Vector Regression Models with Immune Algorithms in Predicting Fatigue Life of Composites

Ping-Feng Pai, Wei-Chiang Hong, Jia-Hroung Wu, 2006, JCIS.

Predicting movement directions of stock index futures by support vector models with data preprocessing

Ping-Feng Pai, Wan-Ru Wei, 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values

Ping-Feng Pai, Chia-Hsin Liu, Ping-Feng Pai, 2018, IEEE Access.

Analyzing foreign exchange rates by rough set theory and directed acyclic graph support vector machines

Ping-Feng Pai, Chao-Wei Huang, Shi-Yu Chen, 2010, Expert Syst. Appl..

Computer-assisted audit techniques based on an enhanced rough set model

Ping-Feng Pai, Ming-Fu Hsu, Ming-Chieh Wang, 2010, The 6th International Conference on Networked Computing and Advanced Information Management.

A Rough Set Based Model in Water Quality Analysis

Ping-Feng Pai, Fong-Chuan Lee, Ping-Feng Pai, 2010 .

Applying Linguistic VIKOR and Knowledge Map in Personnel Selection

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2011 .

Analyzing academic achievement of junior high school students by an improved rough set model

Ping-Feng Pai, Yu-Min Wang, Yi-Jia Lyu, 2010, Comput. Educ..

Grey models in seasonal time series forecasting

Ping-Feng Pai, Yen-Hung Lin, J. S. Wang, 2005 .

Credit Rating Analysis by the Decision-Tree Support Vector Machine with Ensemble Strategies

Ping-Feng Pai, Ming-Fu Hsu, Yi-Shien Tan, 2015, Int. J. Fuzzy Syst..

Deal with Linguistic Multi-Criteria Decision Making Problem Based on Sequential Multi-person Game Methodology

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2014, IEA/AIE.

Rough set theory with discriminant analysis in analyzing electricity loads

Ping-Feng Pai, Tai-Chi Chen, Ping-Feng Pai, 2009, Expert Syst. Appl..

Applying linguistic information and intersection concept to improve effectiveness of multi-criteria decision analysis technology

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2014, Int. J. Inf. Technol. Decis. Mak..

Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model

Ping-Feng Pai, Wei-Chiang Hong, Chien-Yuan Lai, 2007, IWANN.

A fuzzy support vector regression model for business cycle predictions

Ping-Feng Pai, Kuo-Ping Lin, Ping-Feng Pai, 2010, Expert Syst. Appl..

Heuristic PAC model for hybrid MTO and MTS production environment

Ping-Feng Pai, Rong-Kwei Li, Sheng-Hung Chang, 2003 .

Using Directed Acyclic Graph Support Vector Machines with Tabu Search for Classifying Faulty Product Types

Ping-Feng Pai, Yu-Ying Huang, Ping-Feng Pai, 2006, ISNN.

Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting

Ping-Feng Pai, Wei-Chiang Hong, Shun-Lin Yang, 2007, 2007 IEEE Congress on Evolutionary Computation.

Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2005 .

Sustainable supply chain management using approximate fuzzy DEMATEL method

Ping-Feng Pai, Kuo-Ping Lin, Ming-Lang Tseng, 2018 .

Editorial: Special Issue on Swarm Intelligence Algorithms and Applications

Ping-Feng Pai, Xin-She Yang, Suash Deb, 2011 .

Revenue forecasting using a least-squares support vector regression model in a fuzzy environment

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2013, Inf. Sci..

Solar power output forecasting using evolutionary seasonal decomposition least-square support vector regression

Ping-Feng Pai, Kuo-Ping Lin, Ping-Feng Pai, 2016 .

Applying fuzzy arithmetic to the system dynamics for the customer–producer–employment model

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2006, Int. J. Syst. Sci..

A fuzzy logic-based approach in capacity-planning problems

Ping-Feng Pai, Ping-Teng Chang, S.-S.a Wang, 2004 .

Capacitated Lot size problems with fuzzy capacity

Ping-Feng Pai, Ping-Feng Pai, 2003 .

A solution to the stacking sequence of a composite laminate plate with constant thickness using simulated annealing algorithms

Ping-Feng Pai, Chih-Chiang Lai, Ping-Feng Pai, 2005 .

Continuous review reorder point problems in a fuzzy environment

Ping-Feng Pai, Min-Min Hsu, 2003 .

Developing kernel intuitionistic fuzzy c-means clustering for e-learning customer analysis

Ping-Feng Pai, Kuo-Chen Hung, Kuo-Ping Lin, 2012, 2012 IEEE International Conference on Industrial Engineering and Engineering Management.

A two-phase fuzzy decision-making method based on multigranular linguistic assessment

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2012 .