Fuzzy Urban Sets: Theory and Application to Desakota Regions in China
Eric J Heikkila,
Ti-Yan Shen and
Kai-Zhong Yang
Additional contact information
Eric J Heikkila: School of Policy, Planning, and Development, University of Southern California, Los Angeles, CA 90089-0626, USA
Environment and Planning B, 2003, vol. 30, issue 2, 239-254
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.
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1068/b12820 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:30:y:2003:i:2:p:239-254
DOI: 10.1068/b12820
Access Statistics for this article
More articles in Environment and Planning B
Bibliographic data for series maintained by SAGE Publications ().