Abstract
Business aviation has been popular in the United States, Europe, and South America, however, top economies in East Asia, including Japan, Korea, and Taiwan, have been more conservative and lag behind in the development of business aviation. In this paper, we hope to discover possible trends and needs of business aviation for supporting the government to make decision in anticipation of eventual deregulation in the near future. We adopt knowledge-discovery tools based on rough set to analyze the potential for business aviation through an empirical study. Although our empirical study uses data from Taiwan, we are optimistic that our proposed method can be similarly applied in other countries to help governments there make decisions about a deregulated market.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Berthold, M., Hand, D.J.: Intelligent Data Analysis – An Introduction. Springer, Heidelberg (1999)
Beynon, M.J., Peel, M.J.: Variable precision rough set theory and data discretisation: an application to corporate failure prediction. Omega, International Journal of Management Science 29(6), 561–576 (2001)
Chan, C.-C., Santhosh, S.: BLEM2: Learning Bayes’ rules from examples using rough sets. In: Proc. NAFIPS 2003, 22nd Int. Conf. of the North American Fuzzy Information Processing Society, Chicago, Illinois, July 24 – 26, 2003, pp. 187–190 (2003)
Dimitras, A.I., Slowinski, R., Susmaga, R., Zopounidis, C.: Business failure prediction using rough sets. European Journal of Operational Research 114(2), 263–280 (1999)
Ford, L.R., Fulkerson, D.R.: Flows in Networks. Princeton University Press, Princeton (1962)
Hu, Y.C., Chen, R.S., Tzeng, G.H.: Finding fuzzy classification rules using data mining techniques. Pattern Recognition Letters 24(1-3), 509–519 (2003)
Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences 11(5), 341–356 (1982)
Pawlak, Z.: Rough sets, decision algorithms and Bayes’ theorem. European Journal of Operational Research 136(1), 181–189 (2002)
Pawlak, Z.: Flow graphs and intelligent data analysis. Fundamenta Informaticae 64(1/4), 369–377 (2005)
Pawlak, Z., Skowron, A.: Rudiments of rough sets. Information Sciences 177(1), 3–27 (2007)
Predki, B., Slowinski, R., Stefanowski, J., Susmaga, R., Wilk, Sz.: ROSE - Software Implementation of the Rough Set Theory. In: Polkowski, L., Skowron, A. (eds.) RSCTC 1998. LNCS (LNAI), vol. 1424, pp. 605–608. Springer, Heidelberg (1998)
Slowinski, R., Zopounidis, C.: Application of the rough set approach to evaluation of bankruptcy risk. International Journal of Intelligent Systems in accounting, Finance and Management 4(1), 27–41 (1995)
Witlox, F., Tindemans, H.: The application of rough sets analysis in activity-based modeling, opportunities and constraints. Expert Systems with Application 27(2), 171–180 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ou Yang, YP., Shieh, HM., Tzeng, GH., Yen, L., Chan, CC. (2008). Business Aviation Decision-Making Using Rough Sets. In: Chan, CC., Grzymala-Busse, J.W., Ziarko, W.P. (eds) Rough Sets and Current Trends in Computing. RSCTC 2008. Lecture Notes in Computer Science(), vol 5306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88425-5_34
Download citation
DOI: https://doi.org/10.1007/978-3-540-88425-5_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88423-1
Online ISBN: 978-3-540-88425-5
eBook Packages: Computer ScienceComputer Science (R0)