Abstract
Fuzzy linear programming has a wide range of applications in agricultural economic management. In this paper, the mathematical model of fuzzy linear programming was studied in detail, and then under the restriction of elastic constraints, the f(ti) and g(t0) function expressions and their optimal solutions were obtained. Subsequently, the fuzzy linear programming was applied to the agricultural economic management of the five urban areas of Zhengzhou, and its applicability was studied. The results showed that the f(ti) and g(t0) function expressions obtained by different stretch degrees were not the same, and both had a unique optimal solution. In addition, the mathematical model based on fuzzy linear programming could well predict the pull force in agricultural economic management, so as to provide theoretical support for the application of fuzzy linear programming.
Highlights
Agriculture is the basis for human survival and an important driving force for social and economic development [1]
We propose a generalized fuzzy linear programming model to solve the problems in agricultural economic management, so as to solve the problem of random variables caused by uncertainty and provide suggestions for agricultural economic management in Zhengzhou to optimize its planting structure and improve, and the output value of agricultural production promotes the development of local agriculture
It is the first concern of policymakers for the subsequent economic punishment. erefore, different model function values (Figure 8) are obtained by limiting an elastic constraint condition, and the random variable problem in agricultural economic management is solved through the change of different calculation data. e main reason may be that the driving force of crops in Gongyi city
Summary
Fuzzy linear programming has a wide range of applications in agricultural economic management. The mathematical model of fuzzy linear programming was studied in detail, and under the restriction of elastic constraints, the f(ti) and g(t0) function expressions and their optimal solutions were obtained. The fuzzy linear programming was applied to the agricultural economic management of the five urban areas of Zhengzhou, and its applicability was studied. E results showed that the f(ti) and g(t0) function expressions obtained by different stretch degrees were not the same, and both had a unique optimal solution. The mathematical model based on fuzzy linear programming could well predict the pull force in agricultural economic management, so as to provide theoretical support for the application of fuzzy linear programming
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