Using a mamdani fuzzy inference system model (Mfism) for ranking groundwater quality in an agri-environmental context: Case of the hammamet-nabeul shallow …
S Hajji, N Yahyaoui, S Bousnina, F Ben Brahim… - Water, 2021 - mdpi.com
Using an adaptive Mamdani fuzzy inference system model (MFSIM), the purpose of this
paper is mainly to assess and rank the assessment and ranking of water quality for irrigation
occurring in the Hammamet-Nabeul (Tunisia) shallow aquifer. This aquifer is under
Mediterranean climate conditions and affected by intensive and irrational agricultural
activities. In the current study, the Mamdani fuzzy logic-based decision-making approach
was adapted to classify groundwater quality (GW) for irrigation. The operation of the fuzzy …
paper is mainly to assess and rank the assessment and ranking of water quality for irrigation
occurring in the Hammamet-Nabeul (Tunisia) shallow aquifer. This aquifer is under
Mediterranean climate conditions and affected by intensive and irrational agricultural
activities. In the current study, the Mamdani fuzzy logic-based decision-making approach
was adapted to classify groundwater quality (GW) for irrigation. The operation of the fuzzy …
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