Adaptive neuro-fuzzy inference system approach for urban sustainability assessment: A China case study-Reference-Cited by-同舟云学术

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Adaptive neuro-fuzzy inference system approach for urban sustainability assessment: A China case study

Published:2018-06-06 Issue:6 Volume:26 Page:749-764
ISSN:0968-0802
Container-title:Sustainable Development
language:en
Short-container-title:Sustainable Development

Author:

Tan Yongtao¹^ORCID,Shuai Chenyang¹,Jiao Liudan²,Shen Liyin³

Affiliation:

1. Department of Building & Real Estate; Hong Kong Polytechnic University; Kowloon Hong Kong

2. Chongqing Jiaotong University; School of Economics and Management; Chongqing China

3. School of Construction Management & Real Estate; Chongqing University; Chongqing China

Funder

Research Grants Council (RGC) of the Hong Kong Special Administrative Region, China

Publisher

Wiley

Subject

Development,Renewable Energy, Sustainability and the Environment

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sd.1744/fullpdf

Reference108 articles.

1. Business models for sustainability from a system dynamics perspective;Abdelkafi;Organization & Environment,2016

2. The application of ANFIS prediction models for thermal error compensation on CNC machine tools;Abdulshahed;Applied Soft Computing,2015

3. Development and urban sustainability: An analysis of efficiency using data envelopment analysis;Alfonso Piña;Sustainability,2016

4. An iterative framework for National scenario modelling for the sustainable development goals (SDGs);Allen;Sustainable Development,2017

5. Hybrid fuzzy sustainability assessment model: A case study of a regional infrastructure transport project;Alsulami;Bridges,2014

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