Abstract
With the worldwide embracement of sustainable development, it is considered that recognizing the sustainable development performance is important in pursuing effective sustainable development, since it has been invested a great cost of manpower, material and financial resource. With this aim, this paper innovatively develops an adaptive neural fuzzy interference system (ANFIS) to evaluate the regional sustainability performance. The training samples are derived from 38 regions in Chongqing China. The proposed ANFIS model proves to be very effective in region sustainability performance assessment, which can help the governments monitor the sustainability performance more systematically, efficiently and economically.
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Acknowledgements
This research is supported by a grant from the Research Grants Council of Hong Kong Special Administrative Region, China (Project No. F-PP2F). This paper is also funded by the National Social Science Foundation of China (Grant No. 15BJY038 and 15AZD025).
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Shuai, C.Y., Tan, Y.T., Jiao, L.D. (2018). An Alternative Model for Regional Sustainability Evaluation: A Case Study of Chongqing. In: Chau, K., Chan, I., Lu, W., Webster, C. (eds) Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. Springer, Singapore. https://doi.org/10.1007/978-981-10-6190-5_17
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DOI: https://doi.org/10.1007/978-981-10-6190-5_17
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