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Evaluation and Analysis of Land Input‐Output Comprehensive Benefit Based on Fuzzy Mathematics and Analytic Hierarchy Process

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  • Xincheng Zhu
  • Yan Zhang
  • Yunzhi Hou
  • Minda Jiang

Abstract

Land use and comprehensive land evaluation are essential. Based on fuzzy mathematics theory and biological heuristic algorithm, the land input‐output benefits are evaluated comprehensively. This paper firstly selects six indicators from six aspects of land resource input, capital input, and economic output, and so on. Based on land input and output, this paper constructs the evaluation indicator system of comprehensive benefit for land use. Then, based on the theory of fuzzy mathematics, the improved particle swarm optimization (PSO) algorithm is used to identify the fuzzy density value of the evaluation index. Combined with the analytic hierarchy process (AHP), comprehensive evaluation method, through the combination of subjective and objective methods, is comprehensively evaluating land benefits. Finally, the Tobit model is constructed to further analyze the influencing factors of total factor productivity of urban land use and explore the influencing mechanism of government regulation, land opening, and other factors and land development. The research results of this paper can provide reference for future urban planning, land structure adjustment, land resource utilization and protection, food security, ecological security, economic security, and so on.

Suggested Citation

  • Xincheng Zhu & Yan Zhang & Yunzhi Hou & Minda Jiang, 2022. "Evaluation and Analysis of Land Input‐Output Comprehensive Benefit Based on Fuzzy Mathematics and Analytic Hierarchy Process," Advances in Mathematical Physics, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:jnlamp:v:2022:y:2022:i:1:n:1113693
    DOI: 10.1155/2022/1113693
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    References listed on IDEAS

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    1. Yue Wang, 2023. "Application of Engineering Science Model Based on Fuzzy Sets in Enterprise Financial Evaluation Index," Advances in Mathematical Physics, John Wiley & Sons, vol. 2023(1).

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