Knowledge-based system acquisition for competitiveness predictions in decision making

Abstract

The competitiveness knowledge can help making national strategies and decisions. However, the computerization of competitiveness knowledge is hard to be fulfilled. The reason includes competitiveness properties cover a broad range of criteria and their relationship is not well structured. This research proposes a knowledge-based system for competitiveness, taking advantages of the object-oriented technique to integrate preference information and mathematical measures. Furthermore, extending the derived knowledge beyond the original understanding is designed to provide the competitiveness features, utilities, and patterns.