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A Comprehensive Evaluation Method for Industrial Sewage Treatment Projects Based on the Improved Entropy-TOPSIS

Author

Listed:
  • Xin Yu

    (International College, National Institute of Development Administration, Bangkok 10240, Thailand)

  • Sid Suntrayuth

    (International College, National Institute of Development Administration, Bangkok 10240, Thailand)

  • Jiafu Su

    (National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China)

Abstract

Sewage treatment and reuse have always been hot issues in both the business and academic communities in all nations around the world. In order to solve the difficulties in accurate quantization and objective evaluation of industrial sewage treatment projects, this paper proposed a comprehensive industrial sewage treatment project evaluation method based on the improved entropy–TOPSIS method. First, this paper constructed an evaluation indicator system for sewage treatment projects from the four aspects of environmental performance, economic performance, managerial performance and social performance. Second, it made a modification to the experts’ experience-based grading using the entropy weight method and determined the weight of the indicators in a more objective and more accurate manner. Third, this work improved the traditional TOPSIS method and simplified the calculations with regard to the traditional TOPSIS-based comprehensive evaluation. Finally, by taking the example of evaluating industrial sewage treatment projects of the China Water Affairs Group in Q city (ChongQing), China, this paper verified the feasibility and practicability of the proposed comprehensive industrial sewage treatment project evaluation system and method.

Suggested Citation

  • Xin Yu & Sid Suntrayuth & Jiafu Su, 2020. "A Comprehensive Evaluation Method for Industrial Sewage Treatment Projects Based on the Improved Entropy-TOPSIS," Sustainability, MDPI, vol. 12(17), pages 1-11, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6734-:d:401361
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    References listed on IDEAS

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    1. Jie Jian & Yu Guo & Lin Jiang & Yanyan An & Jiafu Su, 2019. "A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    2. Jie Jian & Yuyao Zhang & Lin Jiang & Jiafu Su, 2020. "Coordination of Supply Chains with Competing Manufacturers considering Fairness Concerns," Complexity, Hindawi, vol. 2020, pages 1-15, February.
    3. Jiafu Su & Chi Li & Qingjun Zeng & Jiaquan Yang & Jie Zhang, 2019. "A Green Closed-Loop Supply Chain Coordination Mechanism Based on Third-Party Recycling," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    4. Kalbar, Pradip P. & Karmakar, Subhankar & Asolekar, Shyam R., 2012. "Technology assessment for wastewater treatment using multiple-attribute decision-making," Technology in Society, Elsevier, vol. 34(4), pages 295-302.
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    Cited by:

    1. Kun Lang & Lijun Gu & Zhiying Chen & Chunhui Niu & Lin Li & Jinyuan Ma, 2023. "Ecological Quality Status Evaluation of Port Sea Areas Based on EW-GRA-TOPSIS Model," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    2. Jianjun Wang & Chicheng Ma & Sai Wang & Xiaojuan Lu & Dongyi Li, 2022. "Risk Assessment Model and Sensitivity Analysis of Ordinary Arterial Highways Based on RSR–CRITIC–LVSSM–EFAST," Sustainability, MDPI, vol. 14(23), pages 1-19, December.
    3. Jingyuan Shi & Jiaqing Sun, 2023. "Prefabrication Implementation Potential Evaluation in Rural Housing Based on Entropy Weighted TOPSIS Model: A Case Study of Counties in Chongqing, China," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    4. Qian Luo & Guohua Fang & Jian Ye & Min Yan & Chengxuan Lu, 2020. "Country Evaluation for China’s Hydropower Investment in the Belt and Road Initiative Nations," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    5. Fangzhong Qi & Leilei Zhang & Kexiang Zhuo & Xiuyan Ma, 2022. "Early Warning for Manufacturing Supply Chain Resilience Based on Improved Grey Prediction Model," Sustainability, MDPI, vol. 14(20), pages 1-16, October.

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