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Sustainability 2017, 9(6), 911; doi:10.3390/su9060911

A Smart MCDM Framework to Evaluate the Impact of Air Pollution on City Sustainability: A Case Study from China

1
Faculty of Information Technology, Macau University of Science and Technology, Macau SAR
2
Big Data Lab, Department of ICT and Natural Sciences, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Ålesund 6009, Norway
*
Author to whom correspondence should be addressed.
Received: 28 February 2017 / Revised: 3 May 2017 / Accepted: 20 May 2017 / Published: 29 May 2017
(This article belongs to the Special Issue Smart X for Sustainability)
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Abstract

Air pollution has become one of the key environmental concerns in the urban sustainable development. It is important to evaluate the impact of air pollution on socioeconomic development since it is the prerequisite to enforce an effective prevention policy of air pollution. In this paper, we model the impact of air pollution on the urban economic development as a Multiple Criteria Decision Making (MCDM) problem. In particular, we propose a novel Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis framework to evaluate multiple factors of air pollutants and economic development. Our method can overcome the drawbacks of conventional TOPSIS methods by using Bayesian regularization and the Back-Propagation (BP) neural network to optimize the weight training process. We have conducted a case study to evaluate our proposed framework. View Full-Text
Keywords: sustainability; air pollution; Multiple Criteria Decision Making (MCDM); TOPSIS; neural network sustainability; air pollution; Multiple Criteria Decision Making (MCDM); TOPSIS; neural network
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Wang, Q.; Dai, H.-N.; Wang, H. A Smart MCDM Framework to Evaluate the Impact of Air Pollution on City Sustainability: A Case Study from China. Sustainability 2017, 9, 911.

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