Volume 4 • Issue 2 • PP: 17–21 • 2024
A Probabilistic Neutrosophic Hesitant Fuzzy Set for Waste Water Treatment Plants
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© 2024 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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Decision-makers at wastewater treatment plants must increase process efficiency and circularity while preserving economic performance. They must comply with increasing requirements concerning lower emissions, sustainability, and human health safety. Operating and selecting technologies to fulfil these expectations leads to complicated multi-objective issues. Consequently, the water industry has developed several decision support systems. Multi-criteria decision-making (MCDM) is used to deal with various criteria in the evaluation process. The MCDM methodology is integrated with the probabilistic neutrosophic hesitant fuzzy set (PNHFS) to deal with vague and incomplete information. The PNHFS uses the VIKOR method to rank the alternatives and select the optimal wastewater treatment plant. The criteria weights are computed. The results show that safety is of the highest importance. A sensitivity analysis was conducted to show the different ranks under different cases. The main results show that the different ranks are stable and that the suggested MCDM methodology is robust compared with other MCDM methods.
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