An improved reliability model for FMEA using probabilistic linguistic term sets and TODIM method
DOI10.1007/s10479-019-03447-0zbMath1490.90103OpenAlexW2991943781WikidataQ126586011 ScholiaQ126586011MaRDI QIDQ2150805
Ming-Shun Song, Hu-Chen Liu, Chun-Yan Duan, Jia Huang
Publication date: 30 June 2022
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-019-03447-0
risk assessmentprobabilistic linguistic term setreliability modelingTODIM methodfailure mode and effects analysis (FMEA)
Factor analysis and principal components; correspondence analysis (62H25) Decision theory (91B06) Reliability, availability, maintenance, inspection in operations research (90B25)
Related Items (1)
Cites Work
- Unnamed Item
- An intuition-based evaluation framework for social credit applications
- Homogeneity analysis using absolute deviations
- The concept of a linguistic variable and its application to approximate reasoning. I
- The Gifi system of descriptive multivariate analysis.
- Multilevel homogeneity analysis with differential weighting
- A multi-release software reliability modeling for open source software incorporating dependent fault detection process
- A methodology for priority setting with application to software development process
- A method based on linguistic aggregation operators for group decision making with linguistic preference relations
- Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction
- Nonparametric Tests for Comparing Several Coefficients of Variation
- Prospect Theory: An Analysis of Decision under Risk
This page was built for publication: An improved reliability model for FMEA using probabilistic linguistic term sets and TODIM method