Water Distribution System (WDS) are strategic infrastructures in all countries. In recent decades, several optimization-based frameworks have been developed to detect potential contaminant events through risk mitigation strategies using the optimal placement of water quality sensors. However, outcomes of the optimization models may not sufficiently represent the priorities of involved stakeholders in real-world case studies where conflicts of interest arise. Therefore, conflict resolution frameworks that consider stakeholder engagement are needed to enhance the security of a WDS through an agreed-upon layout of an optimal number of sensors. In this study, according to the uncertain nature of input contamination into the network, a Fuzzy Transformation Method (FTM) and a Monte-Carlo Simulation (MCS) were employed to address uncertainties in the EPANET simulation model. A fuzzy-based NSGA-II optimization model was developed to determine trade-offs among targets of stakeholders. Social Choice Theories (SCTs) was used to specify the compromise solutions on each trade-off curve. Using the possibility degree method, the obtained fuzzy intervals were ranked based on each stakeholder’s point of view. Finally, the most appropriate SCTs were introduced through a negotiation method (unanimity fallback bargaining) at each confidence level. The application of the proposed methodology was evaluated in the WDS of the city of Lamerd in Fars, Iran. The capability of the proposed methodology in selecting socio-optimal sensor placement was compared with the results of previous studies. The obtained results demonstrated that the proposed framework yielded a reliable outcome and enhance the decision-making condition for stakeholders to improve the security of a WDS.

供水系统（WDS）是所有国家/地区的战略基础设施。在最近的几十年中，已经开发了几种基于优化的框架，以通过使用水质传感器的最佳放置的风险缓解策略来检测潜在的污染物事件。但是，优化模型的结果可能不足以代表发生利益冲突的实际案例研究中所涉利益相关者的优先事项。因此，需要通过考虑利益相关者参与的冲突解决框架来通过商定的最佳数量的传感器布局来提高WDS的安全性。在这项研究中，根据网络中输入污染的不确定性，采用模糊变换方法（FTM）和蒙特卡洛模拟（MCS）来解决EPANET模拟模型中的不确定性。建立了基于模糊的NSGA-II优化模型来确定利益相关者目标之间的权衡。社会选择理论（SCT）用于指定每条权衡曲线上的折衷解决方案。使用可能性度法，基于每个利益相关者的观点对获得的模糊区间进行排序。最后，在每个置信度下，通过协商方法（一​​致意见回溯性讨价还价）引入了最合适的SCT。在伊朗法尔斯的Lamerd市的WDS中评估了所建议方法的应用。所提出的方法在选择社会最佳传感器位置方面的能力与以前的研究结果进行了比较。