1 |
Arimond, G. and Elfessi, A. (2001), A clustering method for categorical data in tourism market segmentation research, Journal of Travel Research, 39(4), 391-397.
DOI
|
2 |
Bass, S. D. and Kurgan, L. A. (2010), Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology, Scientometrics, 82(2), 217-241.
DOI
|
3 |
Bonnefoy-Mazure, A., Sagawa, Y., Lascombes, P., De Coulon, G., and Armand, S. (2013), Identification of gait patterns in individuals with cerebral palsy using multiple correspondence analysis, Research in Developmental Disabilities, 34(9), 2684-2693.
DOI
|
4 |
Chen, F. C. (2012), Global offshore wind industry situation and future developments, Journal of the Me chatronic Industry, 346, 60-72.
|
5 |
Dai, F. C. and Lee, C. F. (2001), Terrain-based mapping of landslide susceptibility using a geographical information system: a case study, Canadian Geotechnical Journal, 38(5), 911-923.
DOI
|
6 |
Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. C. (2006). Multivariate Data Analysis, Prentice- Hall, Upper Saddle River, NJ.
|
7 |
European Wind Energy Association (2013), The European offshore wind industry: key trends and statistics 2012, http://www.ewea.org/fileadmin/files/lib rary/publications/statistics/European_offshore_statistics_2012.pdf.
|
8 |
Global Taiwanese Business Service Network (2012), Economic environment in the Netherlands, http:// twbusiness.nat.gov.tw/countryPage.do?id=10&country=NL.
|
9 |
Jacobsson, S. and Karltorp, K. (2012), Formation of competences to realize the potential of offshore wind power in the European Union, Energy Policy, 44, 374-384.
DOI
|
10 |
Kaciak, E. and Louviere, J. (1990), Multiple correspondence analysis of multiple choice experiment data, Journal of Marketing Research, 27(4), 455-465.
DOI
|
11 |
Kaldellis, J. K. and Kapsali, M. (2013), Shifting towards offshore wind energy-Recent activity and future development, Energy Policy, 53(1), 136-148.
DOI
|
12 |
Klessmann, C., Held, A., Rathmann, M., and Ragwitz, M. (2011), Status and perspectives of renewable energy policy and deployment in the European Union: What is needed to reach the 2020 targets? Energy Policy, 39(12), 7637-7657.
DOI
|
13 |
Li, J., Chen, J., and Chen, X. (2011), Dynamic characteristics analysis of the offshore wind turbine blades, Journal of Marine Science and Application, 10(1), 82-87.
DOI
|
14 |
Liu, C. Y. and Liu, J. S. (2011), Mining the optimal clustering of people's characteristics of health care choices, Expert Systems with Applications, 38(3), 1400-1404.
DOI
|
15 |
The Guardian (2012), Denmark aims to get 50% of all electricity from wind power, http://www.theguar dian.com/environment/2012/mar/26/wind-energydenmark.
|
16 |
Ma, C. C. (2012), Current wind power technology research and development, cost analysis, and a specific fostering policy for industries in Taiwan, Department of Chemical Engineering, National Tsing Hua University, Hsinchu.
|
17 |
Muichalena, E. and Hills, M. (2012), Renewable energy issues and implementation of European energy policy: the missing generation? Energy Policy, 45, 201-216.
DOI
|
18 |
Richards, G. and van der Ark, L. A. (2013), Dimensions of cultural consumption among tourists: multiple correspondence analysis, Tourism Management, 37, 71-76.
DOI
|
19 |
Tseng M. L. and Chiu, A. S. F. (2013), Evaluating firm's green supply chain management in linguistic preferences, Journal of Cleaner Production, 40, 22-31.
DOI
ScienceOn
|
20 |
Tseng, M. L., Wu, W. W., Lin, Y. H., and Liao, C. H. (2008), An exploration of relationships between environmental practice and manufacturing performance using the PLS path modeling, WSEAS Transactions on Environment and Development, 4(6), 487-502.
|
21 |
Valenzuela, J. M. and Qi, Y. (2012), Framing energy efficiency and renewable energy policies: an international comparison between Mexico and China, Energy Policy, 51, 128-137.
DOI
|
22 |
von Humboldt, S., Leal, I., and Pimenta, F. (2012), Assessing subjective age and adjustment to aging in a Portuguese and German older population: a comparative multiple correspondence analysis, International Journal of Psychological Studies, 4(2), 141-153.
|
23 |
Everitt, B. S. and Dunn, G. (2001), Applied Multivariate Data Analysis (2nd ed.), John Wiley and Sons, Chichester, UK.
|
24 |
Wen, C. H. and Chen, W. Y. (2011), Using multiple correspondence cluster analysis to map the competitive position of airlines, Journal of Air Transport Management, 17(5), 302-304.
DOI
|