基于模糊规则的系统在公路研究委员会土壤分类中的应用
Application of Fuzzy Rule based System for Highway Research Board Classification of Soils
摘要：
基于模糊规则的模型是模仿人类思维方式和解决不确定性相关问题的有力工具，因为它允许可理解和可解释的规则库。本文的目的是研究的适用性模糊规则为基础的建模，以量化土壤分类的工程目的，定性考虑土壤指标的属性。公路研究委员会的分类系统被认为是说明一个模糊规则为基础的模型。利用三角函数对土壤指标属性进行模糊化，并计算模糊隶属度值。模糊算术运算符，然后施加到分类获得的成员值。采用模糊决策树分类算法，推导出模糊“若-则”规则，实现土壤分类的量化。该系统在MATLAB中实现。所获得的结果进行检查，并对实验室测试的结果测量所提出的模型的实施。
英文摘要：
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.
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