A rough set approach to classification and its application for the creative city development

Lee Chuan Lin, Zhu Jing, Junzo Watada, Tomoko Kashima, Hiroaki Ishii

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    The objective of this paper is to realize an efficient sampling method in a rough set approach that distinguishes whether a subset can be classified in the focal set or not. The algorithm of rough set model will be used to analyze samples obtained and in order to illustrate the method, we use some artificial data in this paper. As its application, we discuss public art and urban development. Also, the concept of the Creative City, proposed by Charles Landry, will be reviewed for urban innovators, policy makers, scientists and artists. City renaissance has played an increasingly important role in urban regeneration since the mid-1980s. However, recent developments have focused less on capital projects, and more on the arts activity to support community-led renewals. It is essential for researchers to pay more attention to the issue of the Creative City development. In this paper, the differentiation is examined whether the cities can be classified into a Creative City or not.

    Original languageEnglish
    Pages (from-to)4859-4866
    Number of pages8
    JournalInternational Journal of Innovative Computing, Information and Control
    Volume5
    Issue number12
    Publication statusPublished - 2009 Dec

    Keywords

    • Classification
    • Creative city
    • Rough sets
    • Sampling method
    • Urban planning & development

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Information Systems
    • Software
    • Theoretical Computer Science

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