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

Zeyu Lin, Hamdi Ayed, Belgacem Bouallegue, Hana Tomaskova, Saeid Jafarzadeh Ghoushchi and Gholamreza Haseli
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Zeyu Lin: Ningbo Institute of Future Economics Co., Ltd., Ningbo 315000, China
Hamdi Ayed: Department of Civil Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
Belgacem Bouallegue: Department of Computer Engineering, College of Computer Science, King Khalid University, Abha 61421, Saudi Arabia
Hana Tomaskova: Faculty of Informatics and Management, University of Hradec Kralove, 50003 Hradec Kralove, Czech Republic
Saeid Jafarzadeh Ghoushchi: Faculty of Industrial Engineering, Urmia University of Technology, Urmia 17165-57166, Iran
Gholamreza Haseli: Department of Management, Faculty of Economic, Management and Social Science, Shiraz University, Shiraz 71345, Iran

Mathematics, 2021, vol. 9, issue 18, 1-18

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

Keywords: fully fuzzy; best-worst method; WASPAS; TFNs; failure modes; SOFC (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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