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Fuzzy Urban Sets: Theory and Application to Desakota Regions in China

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  • Eric J Heikkila

    (School of Policy, Planning, and Development, University of Southern California, Los Angeles, CA 90089-0626, USA)

  • Ti-Yan Shen
  • Kai-Zhong Yang

Abstract

This paper outlines a method for using the mathematics of fuzzy sets that is well suited to measure and characterize periurbanizing ( desakota ) systems typical of China, Southeast Asia, and other areas experiencing rapid urbanization. Drawing on Kosko's ‘fuzzy hypercube’, we derive three distinct but interdependent measures: (1) extent of urbanization, (2) level of fuzziness, and (3) degree of entropy. The feasibility of the proposed method is demonstrated by using remote sensing data for Ningbo, China.

Suggested Citation

  • Eric J Heikkila & Ti-Yan Shen & Kai-Zhong Yang, 2003. "Fuzzy Urban Sets: Theory and Application to Desakota Regions in China," Environment and Planning B, , vol. 30(2), pages 239-254, April.
    • Handle: RePEc:sae:envirb:v:30:y:2003:i:2:p:239-254
    DOI: 10.1068/b12820
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    1. T V Mesev & P A Longley & M Batty & Y Xie, 1995. "Morphology from Imagery: Detecting and Measuring the Density of Urban Land Use," Environment and Planning A, , vol. 27(5), pages 759-780, May.
    2. Eric J. Heikkila, 2000. "The Fuzzy Logic of Accessibility," Advances in Spatial Science, in: Donald G. Janelle & David C. Hodge (ed.), Information, Place, and Cyberspace, chapter 6, pages 91-106, Springer.
    3. Donald G. Janelle & David C. Hodge, 2000. "Information, Place, Cyberspace, and Accessibility," Advances in Spatial Science, in: Donald G. Janelle & David C. Hodge (ed.), Information, Place, and Cyberspace, chapter 1, pages 3-11, Springer.
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