论文标题
基于模糊规则的系统在公路研究委员会的土壤分类中的应用
Application of Fuzzy Rule based System for Highway Research Board Classification of Soils
论文作者
论文摘要
基于模糊规则的模型是模仿人类思考和解决不确定性相关问题的强大工具，因为它允许可以理解和可解释的规则基础。本文的目的是通过定性考虑土壤指数特性来研究基于模糊规则的建模以量化土壤分类的适用性。公路研究委员会的分类系统被认为是为了说明基于模糊规则的模型。土壤的指数特性是使用三角函数模糊的，并计算了模糊的成员价值。然后将模糊算术运算符应用于分类获得的成员价值。模糊决策树分类算法用于导出模糊的规则，以量化定性土壤分类。提出的系统在MATLAB中实现。检查获得的结果，并根据实验室测试的结果测量所提出的模型的实施。
Fuzzy rule-based model is a powerful tool for imitating the human way of thinking and solving uncertainty-related problems as it allows for understandable and interpretable rule bases. The objective of this paper is to study the applicability of fuzzy rule-based modelling to quantify soil classification for engineering purposes by qualitatively considering soil index properties. The classification system of the Highway Research Board is considered to illustrate a fuzzy rule-based model. The soil's index properties are fuzzified using triangular functions, and the fuzzy membership values are calculated. Fuzzy arithmetical operators are then applied to the membership values obtained for classification. Fuzzy decision tree classification algorithm is used to derive fuzzy if-then rules to quantify qualitative soil classification. The proposed system is implemented in MATLAB. The results obtained are checked and the implementation of the proposed model is measured against the outcomes of the laboratory tests.
