2009Unpublished venueRequires access

Decision support systems for creative city design: Rethinking urban competitiveness

Lee-Chuan Lin, Junzo Watada

Open publisher page 2 citations

Abstract

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.

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What this paper is about

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.

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Available abstract

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.

Key concepts: Rough set, Creative city, Computer science, Set (abstract data type), Decision support system, Government (linguistics), Operations research, Management science

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