Abstract:
Groundwater quality assessment is vital for assuring the supply of clean drinking water. Traditional
assessment approaches frequently rely on hard classification procedures, which might be
constrained when dealing with uncertainty and imprecision. This study employs fuzzy logic to
evaluate the quality of groundwater. The approach evaluates numerous factors, such as pH,
turbidity, Total Dissolved Solids (TDS) and nitrate concentration, and integrates language elements
to reflect expert knowledge. In this paper, a fuzzy inference system is built to evaluate the overall
groundwater quality, considering the numerous metrics and their relative relevance. The strategy
attempts to provide an accurate and thorough analysis of groundwater quality and highlight any
probable pollution hazards. The membership functions for input are categorized into “Desirable”,
“Acceptable”, and “Unacceptable”, utilizing both experts’ expertise and the restrictions specified
by the World Health Organization (WHO). This study also uses the GIS to evaluate the
groundwater quality. IDW is used for that method that takes up the nearest points to assess the
unknown points. The spatial variation maps are made to display the parameters. This study will
detail the system’s construction and execution, along with the experimental outcomes that will
illustrate how the fuzzy logic method is efficient. The results will provide useful insights into the
possibilities of fuzzy logic in addressing groundwater quality issues and improving water
management methods. In the end, Fuzzy logic will tell us the uncertainties present in the data.
