Author
Listed:
- Jing Guo
(School of Software Engineering, Jinling Institute of Technology, Nanjing 211169, P. R. China†School of Management & Engineering, Nanjing University, Nanjing, P. R. China)
- Wenfeng Li
(School of Software Engineering, Jinling Institute of Technology, Nanjing 211169, P. R. China)
- Xianjun Zhu
(School of Software Engineering, Jinling Institute of Technology, Nanjing 211169, P. R. China‡Reproductive Medicine Center, Jinling Hospital, Nanjing 210002, P. R. China§Research Center for New Technology in Intelligent Equipment Nanjing University, Nanjing 210093, P. R. China)
- Hui Li
(School of Software Engineering, Jinling Institute of Technology, Nanjing 211169, P. R. China¶College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, P. R. China)
Abstract
To address the ambiguity, uncertainty, and imprecision inherent in failure mode and effect analysis (FMEA) assessments, we propose a probabilistic interval-value term set (PIVTS) to express decision-makers’ evaluations. This approach allows decision makers to express their quantitative assessments using interval-value terms with probabilities, providing a more comprehensive and expressive representation of people’s preferences than exact numbers. In a probabilistic interval-valued environment, we propose an enhanced failure mode ranking method based on elimination and choice translating reality-III (ELECTRE III). Our ranking method includes a comprehensive computing framework for PIVTS to assess the importance of risk factors. Additionally, we provide rules for addition, subtraction, and division when comparing the disparity between two PIVTSs. Based on these rules, we also introduce the concordance index, discordance index, and outranking degrees. To demonstrate the effectiveness of our approach, we provide an example of its application to the steel production process. The advantages of PIVTS as a judgment technique and ELECTRE III as a decision method make our approach a better alternative for addressing complex uncertainties and determining the risk ranking of failure modes.
Suggested Citation
Jing Guo & Wenfeng Li & Xianjun Zhu & Hui Li, 2024.
"A Comprehensive Approach for Failure Mode and Effect Analysis Under Probabilistic Interval-Value Fuzzy Environment,"
International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 23(04), pages 1527-1557, July.
Handle:
RePEc:wsi:ijitdm:v:23:y:2024:i:04:n:s021962202350044x
DOI: 10.1142/S021962202350044X
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijitdm:v:23:y:2024:i:04:n:s021962202350044x. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.