Pareto-based intuitionistic fuzzy aggregation framework for reliability and decision alternative ranking in biogas power system
摘要
This study presents an intuitionistic fuzzy reliability assessment framework for a biogas power plant system with integration of the trapezoidal intuitionistic fuzzy numbers (TrIFNs) and universal generating function technique under the Pareto distribution with incorporation of weighted aggregation operators. Additionally, a ranking decision based on score and accuracy functions is presented to compare TrIFNs in advanced series-parallel configurations with a practical example. This approach provides an accurate and effective way to assess system reliability and model uncertainty, including tabular and graphical representations to demonstrate the practicality and effectiveness of the proposed method.