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Comprehensive Evaluation of Non-waste Cities Based on Two-Tuple Mixed Correlation Degree

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Abstract

Under the background of vigorously promoting the construction of ecological civilization, the importance of constructing the “non-waste cities” becomes increasingly prominent. Taking 39 cities in the Yangtze River Economic Zone as the research objects, this paper establishes a new evaluation index system for “non-waste cities,” and proposes a multi-source, heterogeneous and multi-attribute decision-making method for the comprehensive evaluation of “non-waste cities.” Specifically, the evaluation index system of “non-waste cities” is constructed from four aspects: economic level, environmental pollution, resource consumption, and waste utilization. Considering that there is the characteristic of multi-source heterogeneity for the attribute values (that is, real numbers, interval numbers, and fuzzy linguistic variables coexist), the multi-source heterogeneous data are uniformly converted into two-tuples, and then a new two-tuple entropy weight method is proposed to determine the weights of evaluation attributes. Moreover, combining the traditional grey relational analysis method with TOPSIS, a multi-source, heterogeneous and multi-attribute decision-making method based on two-tuple mixed correlation degree (TTMCD-MSHMADM) is proposed to evaluate the “non-waste cities,” and an empirical analysis is made for the 39 cities in the Yangtze River Economic Zone. The result gives a theoretical basis for the formulation of sustainable economic development policies in the Yangtze River Economic Zone, and provides a decision reference for selecting the demonstration cities of “non-waste cities.”

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (Nos. 72071150, 71671135), the National Undergraduate Innovation and Entrepreneurship Training Program (No. 20191049714021), the 2019 Fundamental Research Funds for the Central Universities (WUT: 2019IB013), and the China Scholarship Council (CSC) scholarship (Grant No. 201906955002).

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  1. Congjun Rao and Yawen He contributed equally to this manuscript.

Authors and Affiliations

  1. School of Science, Wuhan University of Technology, Wuhan, 430070, People’s Republic of China

    Congjun Rao & Yawen He

  2. School of Economics, Wuhan University of Technology, Wuhan, 430070, People’s Republic of China

    Xiaolu Wang

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  1. Congjun Rao
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Correspondence to Yawen He.

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Rao, C., He, Y. & Wang, X. Comprehensive Evaluation of Non-waste Cities Based on Two-Tuple Mixed Correlation Degree. Int. J. Fuzzy Syst. 23, 369–391 (2021). https://doi.org/10.1007/s40815-020-00975-x

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