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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Evaluation of Urban Environmental and Economic Coordination Based on Discrete Mathematical Model
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Evaluation of Urban Environmental and Economic Coordination Based on Discrete Mathematical Model

机译：基于离散数学模型的城市环境与经济协调评价

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摘要

The urban ecological environment is the material basis and condition for human beings to engage in social and economic activities and the supporting system for the formation and sustainable development of cities. With the acceleration of urbanization and industrialization, urban living environments and economic development have become the focus of people’s attention. This leads to the necessity of studying how to improve the quality of the urban living environment and promote the harmonious coexistence of population, natural environment, and social economy. Traditional methods focus on multiple regression models to evaluate the urban environmental and economic harmony, but this method does not consider the weight of each index, resulting in poor accuracy of the evaluation results. This paper proposes a discrete mathematical model to design the evaluation index and evaluation system of urban environmental and economic coordination. It calculates the weight of each index; carrying capacity of the urban environment, the value of each environmental factor, and the comprehensive value of the environment is determined. The static evaluation and dynamic evaluation are used to evaluate the coordination of the urban environmental economy. The experimental results show that the designed evaluation method of urban environmental economic coordination has high accuracy and effectively improves the reliability and evaluation time.
机译：城市生态环境是人类从事社会和经济活动的物质基础和条件，以及城市的形成和可持续发展的支持制度。随着城市化和工业化的加速，城市生活环境和经济发展已成为人们注意的重点。这导致研究如何提高城市生活环境质量，促进人口，自然环境和社会经济和谐共存。传统方法侧重于多元回归模型来评估城市环境和经济和谐，但这种方法不考虑每个指数的重量，导致评估结果的准确性差。本文提出了一种离散数学模型，设计了城市环境与经济协调评价指标和评估体系。它计算每个索引的重量;建立城市环境的能力，每个环境因素的价值，以及环境的综合价值。静态评估和动态评估用于评估城市环境经济的协调。实验结果表明，城市环境经济协调的设计评估方法具有高精度，有效提高了可靠性和评估时间。

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