Development of Fuzzy Knowledge-Based System for Water Quality Assessment in River Ganga

Abstract

Rivers are playing an important role in human life and wildlife but due to pollution the quality of river water is extremely deteriorated. The assessment of water quality is a very indeterminate task and associates a lot of uncertainty and subjectivity in the decision making. To cope with this situation, computational intelligence techniques are found competent to develop models for water quality assessment. One of the computational intelligence techniques, fuzzy logic is used to implement such models. In this manuscript, a fuzzy knowledge-based system is developed to classify the water quality of river Ganga in three groups. The open-access software ‘Guaje’ is used to implement the proposed model. The analysis of the results is presented in terms of interpretability and accuracy which are found satisfactory.