An Integrated Mathematical Attitude Utilizing Fully Fuzzy BWM and Fuzzy WASPAS for Risk Evaluation in a SOFC

Nowadays, because of the energy crisis, combined heat and power systems have notable benefits. One best devices is SOFC (Solid Oxide Fuel Cell) which joins frameworks. Some considerable failure modes arise that can affect these devices’ productivity. Generally, evaluations need an experts team to achieve uncertainties belongs risk assessment procedure. To improve efficiency routine FMEA methodology represent a suitable hybrid fuzzy MCDM approach for FMEA, in this work, fully best-worst method (FF-BWM) employed factors weights then weighted aggregated sum product (F-WASPAS) detect priorities utilized. Ultimately, sensitivity analyses demonstrate offered framework verified make applicable data management decision-making evaluation.