Prof. Ping-Feng
Pai
Department of Information
Management
National Chi Nan University, Taiwan
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.