Hybrid assessment of groundwater quality using fuzzy logic and conventional indices in Sidi Kada Mountains (Algeria)

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This assessment integrates fuzzy logic with conventional groundwater quality indices, revealing contamination risks in certain areas.

The combined indices indicated good overall water quality, but five boreholes showed unacceptable levels for drinking.
Chloride and nitrate levels exceeded WHO standards in specific boreholes, highlighting local contamination risks.
The study used a fuzzy inference system to enhance groundwater quality assessments by integrating multiple indices.
Anthropogenic pressures were linked to spatial distribution patterns of groundwater quality exceedances in the region.

Benadela et al. (2025) studied this question.

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