The application of fuzzy sets theory in eco-city classification

Chung-Shing Chan ()
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Chung-Shing Chan: Department of Geography and Resource Management, The Chinese University of Hong Kong

Place Branding and Public Diplomacy, 2017, vol. 13, issue 1, No 2, 4-17

Abstract: Abstract Fuzzy sets concept can solve the problem of imprecise data or varied scales of measurement in the attributes of the city theme. This article highlights this advantage of fuzzy sets theory by discussing how it can be appropriately applied to a research problem related to city characterization. Using eco-city as a hypothetical case, this article demonstrates a fuzzy sets application and its three basic fuzzy sets operations, namely complementation or negation, union and intersection in eco-city classification. Arbitrarily selected eco-city attributes include green coverage, recycling ratio and the rate of vehicle increase. This article finally suggests important research areas, possible policy recommendations and noticeable difficulties in spatial and regional study that can utilize the proposed fuzzy sets approach.

Keywords: city classification; eco-city; fuzzy sets theory; spatial analysis (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1057/pb.2016.8

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