Application of Fuzzy Linear Programming Model in Agricultural Economic Management

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 so...

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Main Author: Yuping Wang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/6089072
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author Yuping Wang
author_facet Yuping Wang
author_sort Yuping Wang
collection DOAJ
description 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.
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spelling doaj-art-3eebcf1e9c294d5c868e1aa7e8932be92025-08-20T02:08:08ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/6089072Application of Fuzzy Linear Programming Model in Agricultural Economic ManagementYuping Wang0School of Business AdministrationFuzzy 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.http://dx.doi.org/10.1155/2022/6089072
spellingShingle Yuping Wang
Application of Fuzzy Linear Programming Model in Agricultural Economic Management
Journal of Mathematics
title Application of Fuzzy Linear Programming Model in Agricultural Economic Management
title_full Application of Fuzzy Linear Programming Model in Agricultural Economic Management
title_fullStr Application of Fuzzy Linear Programming Model in Agricultural Economic Management
title_full_unstemmed Application of Fuzzy Linear Programming Model in Agricultural Economic Management
title_short Application of Fuzzy Linear Programming Model in Agricultural Economic Management
title_sort application of fuzzy linear programming model in agricultural economic management
url http://dx.doi.org/10.1155/2022/6089072
work_keys_str_mv AT yupingwang applicationoffuzzylinearprogrammingmodelinagriculturaleconomicmanagement