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

Zhu, Xiaodong; Zhang, Yan; Hou, Yunzhi; Jiang, Minda

doi:10.1155/2022/1113693

Cited by 3 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the analysis of the relationship between the indicators, a comparison matrix was built to determine the individual weight of each indicator in the hierarchical model. Speci c calculation methods are provided in the available literatures (Zhu et al, 2022).…”

Section: Determination Of the Indicator Weightsmentioning

confidence: 99%

Yield, quality, and water and fertilizer partial productivity of cucumber were promoted by the interaction of water, nitrogen, and magnesium

Yang

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

The balanced management of water and nutrient factors is essential for the high efficient production of cucumber. The effect of magnesium coupling with water and nitrogen on cucumber was determined using a three-factor and three-level orthogonal rotation combination design experiment, and the yield, quality, and water and fertilizer efficiency of cucumber were studied. Yield was significantly influenced by the single factor of irrigation or nitrogen, with the largest value of 88,412.6 kg/ha under high levels of irrigation and nitrogen input. The increase in magnesium fertilizer has a significant promoting effect on reducing sugar and free amino acids, with 19.0% and 9.8% higher than that of low magnesium application, respectively. The interaction of irrigation and magnesium alleviated the inhibition of nitrogen deficiency, thereby reducing the risk of nitrate accumulation and improving the partial productivity of nitrogen fertilizer. The interaction of nitrogen and magnesium significantly affected the yield of cucumber, and all the quality indicators except VC, as well as the partial productivity of water and fertilizer. Six indicators from three categories of yield, quality, and efficiency were used to establish the comprehensive evaluation system based on correlation analysis, and yield was assigned the highest combined weight of 0.4023 using game theory. Gray Relational Analysis model was adopted to evaluate the water and fertilizer treatments, and the optimal applied combination was irrigation of 653.7 m3/hm2, nitrogen fertilizer of 1,141.9 kg/ha, and magnesium fertilizer of 422.1 kg/ha. This condition comprehensively promoted yield, quality, and efficiency, providing a scientific water and fertilizer management strategy for cucumber production in Northwest China.

show abstract

Section: Determination Of the Indicator Weightsmentioning

confidence: 99%

Yield, quality, and water and fertilizer partial productivity of cucumber were promoted by the interaction of water, nitrogen, and magnesium

Yang

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The attributes of things are divided into two types. One is concrete and the other is vague [18,19]. In corporate finance, many financial attributes are ambiguous, and no unilateral attributes can be expressed.…”

Section: Engineering Science Modelmentioning

confidence: 99%

Application of Engineering Science Model Based on Fuzzy Sets in Enterprise Financial Evaluation Index

Wang

2023

Advances in Mathematical Physics

View full text Add to dashboard Cite

With the continuous development of society and the increasingly fierce competition among enterprises, it is necessary to analyze the production and operation conditions of enterprises in a timely and effective manner. In the context of the development of information technology, many companies analyze financial data, and corporate financial analysis indicators are the analysis of various report data of the company’s operations, which can effectively reflect the company’s debt repayment, operation, profit, and development capabilities. Enterprises can judge the operation status of the enterprise and make strategic changes in time according to the indicators of enterprise financial analysis. However, due to the large amount of operational data of enterprises and different relationships among different types of data, the analysis of enterprise financial data is not accurate enough when using traditional enterprise financial analysis indicators for analysis. This paper established an engineering scientific model through fuzzy sets and improved the data analysis ability of enterprise financial analysis indicators in enterprises by means of fuzzy analysis. By comparing the enterprise financial analysis indicators of the engineering science model based on fuzzy sets and the traditional enterprise financial analysis indicators, the experimental results showed that the average financial information analysis accuracy of the enterprise financial analysis index based on the engineering science model based on fuzzy sets and the traditional enterprise financial analysis index are 84% and 74%, respectively. Therefore, applying the engineering science model based on fuzzy sets to the corporate financial analysis indicators can effectively improve the accuracy of financial information analysis.

show abstract

Towards efficient and accurate prediction of freeway accident severity using two-level fuzzy comprehensive evaluation

Wang,

Li,

Shen

et al. 2024

Heliyon

View full text Add to dashboard Cite

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

Cited by 3 publications

References 22 publications

Yield, quality, and water and fertilizer partial productivity of cucumber were promoted by the interaction of water, nitrogen, and magnesium

Yield, quality, and water and fertilizer partial productivity of cucumber were promoted by the interaction of water, nitrogen, and magnesium

Application of Engineering Science Model Based on Fuzzy Sets in Enterprise Financial Evaluation Index

Towards efficient and accurate prediction of freeway accident severity using two-level fuzzy comprehensive evaluation

Contact Info

Product

Resources

About