模糊逻辑在农业系统中的应用综述

M. Pourjafar, M. Mazloomzadeh
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引用次数: 3

摘要

模糊逻辑是布尔逻辑的发展,它处理的是部分真值的含义。而经典逻辑认为,一切都可以用双项表示(0或1,黑或白,是或否)。模糊逻辑允许使用变量的语言值和模糊关系来建模系统处理,它是处理时变、非线性和自适应系统的强大概念。基于改进农业系统和提高农民收入的需要,本文综述了模糊逻辑的相关文献、模糊逻辑在农业系统中的应用以及模糊建模技术。举例说明了建立模糊模型并考虑农业系统改进策略的步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Fuzzy Logic in Agricultural Systems: A Review
Fuzzy logic is a development of Boolean logic dealing with the meaning of sectional truth. Whiles classical logic holds that everything can be expressed in double terms (0 or 1, black or white, yes or no). Fuzzy logic permits the use of linguistic values of variables and ambiguous relationships for modeling system treatment and it is a strong concept for handling time-varying, non-linear and adaptive systems. Because of need to improving agricultural systems and enhancing the farmer's income, the current study presents a review of fuzzy logic literature, applications to agricultural systems and fuzzy modeling techniques. One example has been expressed the steps of building a fuzzy model and consider the strategies for improving of agricultural systems.
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