Prof. Ping-Feng
Pai
Department of
Information Management,
National Chi Nan
University, Taiwan
Professor
Email:
paipf@ncnu.edu.tw
Qualifications
1998 Ph.D., Kansas State University, USA
1992 M.S., National Chiao-Tung University, Taiwan
1990 B.S., National Chiao-Tung University, Taiwan
Publications
(Selected)
-
Ping-Feng Pai,
Lei-Chun Chen, Kuo-Ping Lin (2015, Apr). A hybrid data mining model in
analyzing corporate social responsibility. Neural Computing and Applications,
DOI 10.1007/s00521-015-1893-0.
-
Ping-Feng Pai,
Chen-Tung Chen, Yu-Mei Hung, Wei-Zhan Hung, Ying-Chieh Chang (2014, Dec). A
group decision classifier with particle swarm optimization and decision tree
for analyzing achievements in mathematics and science. Neural Computing and
Applications, (DOI) 10.1007/s00521-014-1689-7.
-
Ping-Feng Pai,
Kuo-Chen Hung, Kuo-Ping Lin (2014, Jun). Tourism demand forecasting using novel
hybrid system. Expert Systems With Applications, 25(7-8), 2011-2023.
-
Ping-Feng Pai,
Ming-Fu Hsu, Lin Lin (2014, Jun). Enhancing decisions with life cycle analysis
for risk management. Neural Computing and Applications, 24(7-8), 1717-1724.
-
Ping-Feng
Pai,Lan-Lin Li, Wei-Zhan Hung, Kuo-Ping Lin (2014, Mar). Using ADABOOST and
rough set theory for predicting debris flow disaster. Water Resources
Management, 28(4),1143-1155.
-
Ping-Feng Pai, Chen-Tung Chen,
Wei-Zhan Hung (2014, Jan). Applying linguistic information and intersection
concept to improve effectiveness of multi-criteria decision analysis
technology. International Journal of Information Technology & Decision
Making, 13(2), 291-315.
-
Ming-Fu Hsu,
Ping-Feng Pai, Wei-Shih Chung (2013, Dec). A relevance vector machine with
rough set theory model in analyzing the life cycle of new economic firms.
Neural Network World, 6(13), 571-586.
-
Ping-Teng Chang,
Lung-Ting Hung, Ping-Feng Pai, Kuo-Ping Lin (2013, Dec). Improving
project-profit prediction using a two-stage forecasting system. Computers &
Industrial Engineering , 66(4), 800-807.
-
Ming-Fu Hsu,
Ping-Feng Pai (2013, Oct). Incorporating support vector machines with multiple
criteria decision making for financial crisis analysis. Quality & Quantity,
47(6), 3481-3492 .
-
Chen-Tung Chen,
Ping-Feng Pai, Wei-Zhan Hung (2013, Mar). A new decision-making process for
selecting project leader based on social network and knowledge map. International
Journal of Fuzzy Systems, 15(1), 36-46.
-
Kuo-Ping Lin,
Ping-Feng Pai, Yu-Ming Lu, Ping-Teng Chang (2013, Jan). Revenue forecasting
using a least-squares support vector regression model in a fuzzy environment.
Information Sciences, 220,196-209.
-
Kuo-Ping Lin,
Hung-Pin Ho, Kuo-Chen Hung, Ping-Feng Pai (2012, May). Combining fuzzy weight
average with fuzzy inference system for material substitution selection in
electric industry. Computers & Industrial Engineering, 62(4), 1034-1045.
-
Ja-Chih Fu,
Chen-Chiang Lin, Yang-Kun Ou, Chih-Nan Wang, Ping-Feng Pai (2012, Mar). Image
enhancement of shoulder magnetic resonance imaging in rotator cuff injury
diagnosis. Journal of the Chinese Institute of Industrial Engineers, 29(2),
87-97.
-
Chen-Tung Chen,
Ping-Feng Pai and Wei-Zhan Hung (2011, Dec). Applying linguistic VIKOR and
knowledge map in personnel selection. Asia Pacific Management Review, 16(4).
15-26.
-
Ping-Feng Pai,
Ming-Fu Hsu, Ming-Chieh Wang (2011, Mar). A support vector machine-based model
for detecting top management fraud. Knowledge-Based Systems, 24(2). 314-321.
-
Kuo-Ping Lin,
Ping-Feng Pai, Shun-Ling Yang (2011, Feb). Forecasting concentrations of air
pollutants by logarithm support vector regression with immune algorithms.
Applied Mathematics and Computation, 217(12), 5318¬5327.
-
Chen-Tung Chen,
Ping-Feng Pai, Wei-Zhan Hung (2010, Oct). An integrated methodology using
linguistic PROMETHEE and maximum deviation method for third-party logistics
supplier selection. International Journal of Computational Intelligence
Systems, 3(4), 438-451.
-
Ping-Feng Pai,
Fong-Chuan Lee (2010, Sep). A rough set based model in water quality analysis.
Water Resources Management, 24(11), 2405-2418.
-
Ping-Feng Pai,
Yi-Jia Lyu, Yu-Min Wang (2010, May). Analyzing academic achievement of junior
high school students by an improved rough set model. Computers & Education,
54(4), 889-900.