International Journal of Advances in Applied Computational Intelligence
Journal DOI
2833-5600ISSN (Online)
Volume 2 , Issue 2 , PP: 37-44, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Taif Khalid Shakir 1 * , Ahmed N. Al Masri 2
Doi: https://doi.org/10.54216/IJAACI.020204
One of the most difficult problems in the water business is the oversight and strategic planning of basin-based water supplies. Governments are concerned with ensuring equitable growth by addressing issues like water scarcity, improving agricultural products, and supporting nutritional health. The primary contribution of this research is the introduction of a methodology for assessing agricultural water delivery systems that allow for collaboration among all stakeholders. The managing the water supply is a MADM. Multi-attribute decision-making (MADM) issues, which are characterized by inadequacy and ambiguity, may be efficiently described using single-valued neutrosophic sets (SVNSs). Several strategies, including the PROMETHEE strategy, are offered to address the MADM issue in SVNSs. The PROMETHEE technique ranks potential solutions by first having the decision maker pick a preferred function for every criterion. In this paper, the SVNS is integrated with the PROMETHEE method for water supply management in smart farming.
Single Valued Neutrosophic Set , MADM , Water Supply , Farming
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