用模糊逻辑评价奶牛的繁殖效率

B. Ağaoğlu, B. Comba, H. Koyun
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引用次数: 0

摘要

模糊逻辑(Fuzzy Logic)是一门以人类思维为基础,用数学函数求解的科学分支。模糊逻辑理论是一种数学理论。在模糊集理论的基础上,采用中间值。1965年出现的模糊逻辑被应用于许多领域。在心脏起搏器的生产中,在人造器官的生产中,在许多电子设备中,在公司效率估算等场合都有使用。模糊逻辑是人工智能方法的一种,近年来经常用于解决质量评估等不确定情况下发生的问题。在机器的帮助下,使用模糊逻辑方法研究特定于人的数据和经验。本研究利用Matlab模糊工具箱,设计了一个奶牛育种性能信息的系统。根据文献中给出的理想条件下的最优值设计专家系统。本文提出的系统结构设计为三个输入参数和一个输出。对设计的系统进行了100个样本值的测试。然后,对专家结果进行评价,并对系统决策进行比较。决策支持系统的成功率为94%。结果表明,该系统可测定奶牛的繁殖效率。有了这个决定,就可以确定奶牛的处理或处置方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluate of The Reproductive Efficiency of Cows With Fuzzy Logic
Fuzzy Logic (Fuzzy Logic) is a branch of science based on thinking like human beings and solving them with mathematical functions. Fuzzy logic theory is a mathematical theory. Based on fuzzy set theory, it also uses intermediate values. The fuzzy logic that emerged in 1965 is used in many fields. In the production of pacemakers, in the production of artificial organs, in many electronic devices, company efficiency estimation, etc. situations are used. Fuzzy logic, which is frequently used in the solution of problems that occur in uncertain situations such as quality assessment in recent years, is one of the artificial intelligence methods. With the help of machines, people-specific data and experiences are studied using the fuzzy logic approach. In this study, by using Matlab Fuzzy Toolbox, it was aimed to design a system that gives information about the breeding performances of cows. The expert system was designed based on the optimal values under the ideal conditions specified in the literature. The architecture of the system presented in this paper is designed as three input parameters and one output. The designed system was tested with 100 sample values. Afterwards, expert results were evaluated and system decisions were compared. The success of the decision support system was 94%. As a result, the reproductive efficiency of cows can be determined with this designed system. With this determination, the handling or disposal of cows can be determined.
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