https://www.universepg.com/ajeit/fuzzy-based-intelligent-approach-for-enhancing-stakeholder-engagement-and-strategic-decision-making-in-nuclear-programs

This study presents a fuzzy-based intelligent model to improve stakeholder engagement in nuclear power program by strategic and data-driven decisions to manage the uncertainty, complexity, and subjectivity involved. The model considered four key factors as input: stakeholder trust (ST), risk perception (RP), communication quality (CQ), and engagement effectiveness (EE), collected from various stakeholders. Input factors influence two key outcomes: (i) Strategic decision alignment (SDA), which describes how well decisions align with stakeholder needs and organizational goals, & (ii) stakeholder satisfaction (SS), which describes how satisfied stakeholders are with the decision-making process. A Fuzzy Inference System (FIS) is applied to handle uncertainties in stakeholder dynamics and communication which also enables decision-makers to identify potential misalignments and areas for improvement for specific targeted groups. To evaluate the conditions of all stakeholders, the distinct fuzzy outputs for every group are incorporated into an integrated system to easily identify specific interventions towards specific stakeholders in order to facilitate trust, enhance communication and achieve more coordinated decision-making. This flexible approach allows adapting engagement strategies based on dynamic stakeholder views and external factors.