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Hybrid Fuzzy Method for Performance Evaluation of City Construction

Author

Listed:
  • Chun-Ming Yang

    (School of Economics and Management, Dongguan University of Technology, Dongguan 523808, China)

  • Chang-Hsien Hsu

    (Department of Business Administration, Asia University, Taichung 413305, Taiwan)

  • Tian Chen

    (School of Marxism, Dongguan University of Technology, Dongguan 523808, China)

  • Shiyao Li

    (School of Economics and Management, Dongguan University of Technology, Dongguan 523808, China
    School of Management and Economics, Kunming University of Science and Technology, Kunming 650093, China)

Abstract

Evaluating the performance of city construction not only helps optimize city functions and improve city quality, but it also contributes to the development of sustainable cities. However, most of the scoring rules for evaluating the performance of city construction are overly cumbersome and demand very high data integrity. Moreover, the properties, change scale, and scope of different evaluation indicators of city construction often lead to uncertain and ambiguous results. In this study, a hybrid fuzzy method is proposed to conduct the performance evaluation of city construction in two phases. Firstly, a city performance index (CPI) was developed by combining the means and standard deviations of indicators of city construction to address the volatility of historical statistical data as well as different types of data. Considering the sampling errors in data analysis, the parameter estimation method was used to derive the 100% × (1 − α ) confidence interval of the CPI. Buckley’s fuzzy approach was then adopted to extend the statistical estimators from the CPI into fuzzy estimators, after which a fuzzy CPI was proposed. To identify the specific improvement directions for city construction, the fuzzy axiom design (fuzzy AD) method was applied to explore the relationship between the targets set by city managers and actual performance. Finally, an example of six cities in China is provided to illustrate the effectiveness and practicality of the proposed method. The results show that the performance of Chongqing on several evaluation indicators is lower than that of other cities. The proposed method takes into account the issues of uniformity and diversity in the performance evaluation of city construction. It can enable a quantitative assessment of the city construction level in all cities and provide theoretical support and a decision-making basis for relevant government departments to optimize city construction planning and scientifically formulate city construction policies.

Suggested Citation

  • Chun-Ming Yang & Chang-Hsien Hsu & Tian Chen & Shiyao Li, 2024. "Hybrid Fuzzy Method for Performance Evaluation of City Construction," Mathematics, MDPI, vol. 12(17), pages 1-13, September.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:17:p:2792-:d:1474618
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    References listed on IDEAS

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    1. Yigitcanlar, Tan & Kamruzzaman, Md., 2018. "Does smart city policy lead to sustainability of cities?," Land Use Policy, Elsevier, vol. 73(C), pages 49-58.
    2. Zhang, Kun & Zhu, Pei-Hua & Qian, Xiang-Yan, 2024. "National information consumption demonstration city construction and urban green development: A quasi-experiment from Chinese cities," Energy Economics, Elsevier, vol. 130(C).
    3. Chen, Kuen-Suan & Wang, Ching-Hsin & Tan, Kim Hua & Chiu, Shun-Fung, 2019. "Developing one-sided specification six-sigma fuzzy quality index and testing model to measure the process performance of fuzzy information," International Journal of Production Economics, Elsevier, vol. 208(C), pages 560-565.
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