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Fuzzy rule-based model is a powerful tool for imitating the human way ofthinking and solving uncertainty-related problems as it allows forunderstandable and interpretable rule bases. The objective of this paper is tostudy the applicability of fuzzy rule-based modelling to quantify soilclassification for engineering purposes by qualitatively considering soil indexproperties. The classification system of the Highway Research Board isconsidered to illustrate a fuzzy rule-based model. The soil's index propertiesare fuzzified using triangular functions, and the fuzzy membership values arecalculated. Fuzzy arithmetical operators are then applied to the membershipvalues obtained for classification. Fuzzy decision tree classificationalgorithm is used to derive fuzzy if-then rules to quantify qualitative soilclassification. The proposed system is implemented in MATLAB. The resultsobtained are checked and the implementation of the proposed model is measuredagainst the outcomes of the laboratory tests.

Application of Fuzzy Rule based System for Highway Research Board Classification of Soils