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Water 2017, 9(11), 903;

Detailed Sponge City Planning Based on Hierarchical Fuzzy Decision-Making: A Case Study on Yangchen Lake

Joint Research Centre for Water Sensitive Cities, Southeast University-Monash University Joint Graduate School (Suzhou), Southeast University, Suzhou 215123, China
Department of Civil Engineering, Southeast University, #2Sipailou, Nanjing 210096, China
School of Civil Engineering, Lanzhou University of Technology, 287 Langongping, Lanzhou 730050, China
Author to whom correspondence should be addressed.
Received: 16 October 2017 / Revised: 9 November 2017 / Accepted: 17 November 2017 / Published: 20 November 2017
(This article belongs to the Special Issue Sponge Cities: Emerging Approaches, Challenges and Opportunities)
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We proposed a Hierarchical Fuzzy Inference System (HFIS) framework to offer better decision supports with fewer user-defined data (uncertainty). The framework consists two parts: a fuzzified Geographic Information System (GIS) and a HFIS system. The former provides comprehensive information on the criterion unit and the latter helps in making more robust decisions. The HFIS and the traditional Multi-Criteria Decision Making (MCDM) method were applied to a case study and compared. The fuzzified GIS maps maintained a majority of the dominant characteristics of the criterion unit but also revealed some non-significant information according to the surrounding environment. The urban planning map generated by the two methods shares similar strategy choices (6% difference), while the spatial distribution of strategies shares 69.7% in common. The HFIS required fewer subjective decisions than the MCDM (34 user-defined decision rules vs. 141 manual evaluations). View Full-Text
Keywords: Sponge City; urban planning; fuzzy logic; GIS; flooding Sponge City; urban planning; fuzzy logic; GIS; flooding

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Zhang, J.; Fu, D.; Wang, Y.; Singh, R.P. Detailed Sponge City Planning Based on Hierarchical Fuzzy Decision-Making: A Case Study on Yangchen Lake. Water 2017, 9, 903.

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