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

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.