International Journal of Human-Computer Studies - Special issue: 1969-1999, the 30th anniversary
&agr;-RST: a generalization of rough set theory
Information Sciences—Informatics and Computer Science: An International Journal
Rough Set Based Data Exploration Using ROSE System
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
The role of decision support systems in an indeterminate world
Decision Support Systems
Pattern discovery: a data driven approach to decision support
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Competitiveness has become one of the important strategies of government and industry in every nation. The concept of the Creative City, proposed by Charles Landry is driving the imagination of city redevelopers. It is essential for researchers to pay more attention to the issue of Creative City design for rethinking urban competitiveness. However, Creative City design must be supported with a wide range of knowledge and a diverse database. Concurrent city development requires to empower efficiency with appropriate evaluation and decision tools. Building a decision support system of Creative City development can help decision-makers to solve semi-structured problems by analyzing data interactively. The decision support system is based on a new proposed rough set analysis that plays a pivotal role and is employed dynamically. The approach realizes a competent sampling method in rough set analysis that distinguishes whether each subset can be classified in the focal set or not. The algorithm of the rough set model will be used to analyze obtained samples. In this paper we will first examine the design rules of Creative City development. Second, we will apply rough set theory to select the decision rules and measure the current status of Japanese cities. Finally, we will initiate a prototype decision support system for Creative City design based on the results obtained from the rough set analysis.