In this chapter, a new multi-layered mamdani fuzzy inference system (ML-MFIS) is proposed
for the assessment of water quality (AWQ). The proposed AWQ-ML-MFIS expert system can …

Artificial intelligence approaches may significantly lower the cost of water supply and
sanitation systems while also ensuring compliance with drinking water and wastewater …

Groundwater is a primary source of living which also requires preservative measures for
furture generations. Due to the lack of effective management technologies, the wastewater …

In this research a framework is developed to predict the drinking water quality through the
neural network models. A fuzzy rule-based system and similarity measure algorithm yield a …

Now-a-days, Fuzzy Inference System (FIS) is considered as an effective tool for solution of
many complex engineering systems when ambiguity and uncertainly is associated with the …

It is a well‐known fact that water is the basic need of human beings. The industrial wastes
nearby rivers and several anthropogenic activities are responsible for deteriorating water …

Water quality degradation affects socio-economic development inappropriately and has dire
effects on human health too. Water quality indexes (WQIs) are the methods widely used for …

A Fuzzy Inference System (FIS) is considered as an effective tool for solution of many
complex engineering systems when ambiguity and uncertainty is associated with the …

River Brahmani is reported to be polluted from the effluents discharged from the nearby
industries, towns and villages located near the banks. The presence of heavy metal content …

Artificial intelligence methods can remarkably reduce costs for water supply and sanitation
systems and help ensure compliance with the quality of drinking and wastewater treatment …