Various technological methods are available for industrial wastewater treatment (WWT), ranging from conventional to advanced treatment processes. It is therefore a complex exercise to select the most appropriate technology to treat the industrial wastewater in a particular situation. Many criteria can be considered in the decision-making process; therefore, multicriteria decision-making methods are especially appropriate for solving this problem. In this paper, we aim to select the most appropriate municipal WWT technology for agricultural usages. We propose a new hybrid methodology based on the best–worst method (BWM) and the behavioral technique for order of preference by similarity to the ideal solution (BTOPSIS). This new hybrid takes advantage of the benefits of both methods. The BWM incorporates consistency checks, while the BTOPSIS can model the risk behavior of the decision maker. Using the proposed methodology, we calculate the performance of seven WWT technologies using criteria categorized into sustainability dimensions (i.e., economic, social, and environmental). The results, based on different levels of decision makers’ loss aversion, indicate that energy consumption and an integrated fixed-film activated sludge reactor are the most effective criterion and technology, respectively. The proposed new methodology is generic and can be employed for any multicriteria decision problems.

中文翻译：

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基于混合多准则决策方法的废水处理技术选择

各种技术方法可用于工业废水处理 (WWT)，从常规处理工艺到高级处理工艺。因此，在特定情况下选择最合适的技术来处理工业废水是一项复杂的工作。在决策过程中可以考虑许多标准；因此，多准则决策方法特别适合解决这个问题。在本文中，我们的目标是选择最适合农业用途的市政污水处理技术。我们提出了一种新的混合方法，该方法基于最佳-最差方法 (BWM) 和通过与理想解决方案的相似性确定偏好顺序的行为技术 (BTOPSIS)。这种新的混合体利用了这两种方法的优点。BWM 包含一致性检查，而 BTOPSIS 可以对决策者的风险行为进行建模。使用建议的方法，我们使用分类为可持续性维度（即经济、社会和环境）的标准来计算七种 WWT 技术的性能。基于不同层次的决策者损失厌恶程度的结果表明，能源消耗和集成固定膜活性污泥反应器分别是最有效的标准和技术。拟议的新方法是通用的，可用于任何多标准决策问题。