1. KHAYRI ABU ISBAYHAH - Mathematics Department, Al Zintan University, Libya.
2. FATIMAH.A.R MASOUD - Mathematics Department, Al Zintan University, Libya.
3. ZEINEB K.A. ASHANDOULI - Mathematics Department, Bani Waleed University, Libya.
4. ZAYNAB. A. MAKARI - Mathematics Department, Gharyan University, Libya.
5. MOHAMED ABULGASIM ABUAJIYLA - Mathematics Department, Gharyan University, Libya.
6. ALAMIN ABUSBAIHA - Mathematics Department, Gharyan University, Libya.
7. MOHAMMED M. KHALAF - Department of Industrial Engineering, Faculty of Engineering and Computer Science, Mustaqbal University, Buraydh, Qassim, Saudi Arabia.
This study aims to identify the most suitable water treatment plant among various alternatives, including, surface water, groundwater, RO seawater desalination, thermal desalination (MSF/MED), secondary and tertiary wastewater treatment, industrial, stormwater, and sludge or advanced reuse treatment plants. The evaluation considers key technical, economic, and environmental criteria such as water quality, capital and maintenance costs, energy consumption, environmental impact, waste generation, implementation time, operational efficiency, operational risk, and space requirements. The M-polar fuzzy soft set method is applied to systematically handle uncertainty and select the optimal water treatment plant.
Surface Water Treatment Plants, Operational Efficiency, Optimization, Desalination.