Abstract
The dominance-based rough set approach is a powerful technology for approximating ranking classes. Analysis of large real-life data sets shows, however, decision rules induced from lower approximations are weak, that is supported by few entities only. For enhancing the DRSA, the mathematical programming is applied to support the lower approximations with entities as more as possible. The mathematical coding such as unions of decision classes, dominance sets, rough approximations, and quality of approximation is implemented in Lingo 12. It is applied on the 2010 World Competitiveness Yearbook of International Institute for Management Development (WCY-IMD). The results show the business finance and attitudes & values matter achieving the top 10 positions in the world competitiveness.
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Ko, YC., Tzeng, GH. (2011). A Dominance-Based Rough Set Approach of Mathematical Programming for Inducing National Competitiveness. In: Watada, J., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22194-1_3
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DOI: https://doi.org/10.1007/978-3-642-22194-1_3
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