Using a Mamdani Fuzzy Inference System Model (MFISM) for Ranking Groundwater Quality in an Agri-Environmental Context: Case of the Hammamet-Nabeul Shallow Aquifer (Tunisia)

Using a Mamdani Fuzzy Inference System Model (MFISM) for Ranking Groundwater Quality in an Agri-Environmental Context: Case of the Hammamet-Nabeul Shallow Aquifer (Tunisia)

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 aff...

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Bibliographic Details
Main Authors: Soumaya Hajji, Naima Yahyaoui, Sonda Bousnina, Fatma Ben Brahim, Nabila Allouche, Houda Faiedh, Salem Bouri, Wafik Hachicha, Awad M. Aljuaid
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Water
Subjects:
groundwater
Mamdani fuzzy inference system model
MFISM
USSL diagram
irrigation water quality index
treated wastewater
Online Access:https://www.mdpi.com/2073-4441/13/18/2507

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