Electrical Power Plant Decision-Making by Utilizing IFS Weighted Averaging Operator

In the process of installation of Power plants (PPs) it is necessary to evaluate the environmental factors in order to make sure the sustainable and environmentally favorable energy production. This article explores the application of the Intuitionistic Fuzzy Set (IFS) theory in assessing the environmental impact of power plant design decisions. Due to the unpredictability and ambiguity of environmental evaluations, the IFS provides a comprehensive framework for modeling and monitoring ambiguous, imprecise, and insufficient data. Environmental assessments are unforeseen; therefore, this methodology is essential. Here, numerous factors are taken into account to make power plants decision such as: waste management, the use of renewable energy, emissions control, land and water utilization, climate change mitigation, stakeholder engagement, and legal compliance. As a result of the unpredictability inherent in environmental assessments, the methodology incorporates varying degrees of participation, non-participation, and aversion. This enables the approach to accommodate for uncertainty. Using the IFS-based approach, this objective is accomplished. The findings support the conclusion that the IFS approach is a successful method for handling ambiguous data. In case of finding the optimal location for power facilities, this methodology allows a more precise and detailed assessment of environmental concerns. By employing this approach, the result facilitates the decision-making (DM) process as well as supports the advancement of sustainable energy practices and mitigates the adverse environmental impacts associated with PP design.