Jenab & Dhillon (2005)
Jenab, K., & Dhillon, B. S. (2005). Group-based failure effects analysis. International Journal of Reliability Quality and Safety Engineering, 12(04), 291-307. http://dx.doi.org/10.1142/S0218539305001835. http://dx.doi.org/10.1142/S0218539305001...
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Group-based failure effects analysis. |
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Chin et al. (2009)
Chin, K. S., Wang, Y. M., Poon, G. K. K., & Yang, J. B. (2009). Failure mode and effects analysis using a group-based evidential reasoning approach. Computers & Operations Research, 36(6), 1768-1779. http://dx.doi.org/10.1016/j.cor.2008.05.002. http://dx.doi.org/10.1016/j.cor.2008.05....
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Failure mode and effects analysis using a group-based evidential reasoning approach. |
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Zhang & Chu (2011)
Zhang, Z., & Chu, X. (2011). Risk prioritization in failure mode and effects analysis under uncertainty. Expert Systems with Applications, 38(1), 206-214. http://dx.doi.org/10.1016/j.eswa.2010.06.046. http://dx.doi.org/10.1016/j.eswa.2010.06...
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Fuzzy-RPNs-based method integrating weighted least square method. |
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Chaudhuri et al. (2013)
Chaudhuri, A., Mohanty, B. K., & Singh, K. N. (2013). Supply chain risk assessment during new product development: a group decision making approach using numeric and linguistic data. International Journal of Production Research, 51(10), 2790-2804. http://dx.doi.org/10.1080/00207543.2012.654922. http://dx.doi.org/10.1080/00207543.2012....
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A group decision making approach using numeric and linguistic data. |
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Ko (2013)
Ko, W. C. (2013). Exploiting 2-tuple linguistic representational model for constructing HOQ-based failure modes and effects analysis. Computers & Industrial Engineering, 64(3), 858-865. http://dx.doi.org/10.1016/j.cie.2012.11.016. http://dx.doi.org/10.1016/j.cie.2012.11....
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2-tuple linguistic representational model for constructing HOQ-based failure modes and effects analysis. |
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Helvacioglu & Ozen (2014)
Helvacioglu, S., & Ozen, E. (2014). Fuzzy based failure modes and effect analysis for yacht system design. Ocean Engineering, 79, 131-141. http://dx.doi.org/10.1016/j.oceaneng.2013.12.015. http://dx.doi.org/10.1016/j.oceaneng.201...
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Integrates and apply the Fuzzy TOPSIS technique in the FMEA tool. |
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Liu et al. (2014a)
Liu, H. C., Fan, X. J., Li, P., & Chen, Y. Z. (2014a). Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment. Engineering Applications of Artificial Intelligence, 34, 168-177. http://dx.doi.org/10.1016/j.engappai.2014.04.011. http://dx.doi.org/10.1016/j.engappai.201...
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A new risk priority model is proposed for evaluating the risk of failure modes based on fuzzy set theory and MULTIMOORA method. |
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Liu et al. (2014b)
Liu, H. C., You, J. X., & You, X. Y. (2014b). Evaluating the risk of healthcare failure modes using interval 2-tuple hybrid weighted distance measure. Computers & Industrial Engineering, 78, 249-258. http://dx.doi.org/10.1016/j.cie.2014.07.018. http://dx.doi.org/10.1016/j.cie.2014.07....
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Risk priority model using interval 2-tuple hybrid weighted distance (ITHWD) measure. |
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Liu et al. (2014c)
Liu, H. C., Liu, L., & Li, P. (2014c). Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator. International Journal of Systems Science, 45(10), 2012-2030. http://dx.doi.org/10.1080/00207721.2012.760669. http://dx.doi.org/10.1080/00207721.2012....
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Risk assessment methodology using intuitionistic fuzzy hybrid weighted Euclidean distance operator. |
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Lolli et al. (2015)
Lolli, F., Ishizaka, A., Gamberini, R., Rimini, B., & Messori, M. (2015). FlowSort-GDSS–A novel group multi-criteria decision support system for sorting problems with application to FMEA. Expert Systems with Applications, 42(17-18), 6342-6349. http://dx.doi.org/10.1016/j.eswa.2015.04.028. http://dx.doi.org/10.1016/j.eswa.2015.04...
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FlowSort-GDSS is proposed to sort the failure modes into priority classes by involving multiple decision-makers. |
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Liu et al. (2015c)
Liu, H. C., Li, P., You, J. X., & Chen, Y. Z. (2015c). A novel approach for FMEA: combination of interval 2‐tuple linguistic variables and gray relational analysis. Quality and Reliability Engineering International, 31(5), 761-772. http://dx.doi.org/10.1002/qre.1633. http://dx.doi.org/10.1002/qre.1633...
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FMEA approach combining interval 2-tuple linguistic variables with gray relational analysis. |
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Chai et al. (2016)
Chai, K. C., Jong, C. H., Tay, K. M., & Lim, C. P. (2016). A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming. Applied Soft Computing, 49, 734-747. http://dx.doi.org/10.1016/j.asoc.2016.08.043. http://dx.doi.org/10.1016/j.asoc.2016.08...
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Interval type-2 fuzzy sets applied with the FMEA tool. |
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Wang et al. (2016)
Wang, L. E., Liu, H. C., & Quan, M. Y. (2016). Evaluating the risk of failure modes with a hybrid MCDM model under interval-valued intuitionistic fuzzy environments. Computers & Industrial Engineering, 102, 175-185. http://dx.doi.org/10.1016/j.cie.2016.11.003. http://dx.doi.org/10.1016/j.cie.2016.11....
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Integrates COmplex PRoportional ASsessment (COPRAS) and analytic network process (ANP) method and interval-valued intuitionistic fuzzy context. |
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Hajiagha et al. (2016)
Hajiagha, S. H. R., Hashemi, S. S., Mohammadi, Y., & Zavadskas, E. K. (2016). Fuzzy belief structure based VIKOR method: an application for ranking delay causes of Tehran metro system by FMEA criteria. Transport, 31(1), 108-118. http://dx.doi.org/10.3846/16484142.2016.1133454. http://dx.doi.org/10.3846/16484142.2016....
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Propose an extension of VIKOR method under Fuzzy Belief Structure for FMEA. |
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Tooranloo (2016)
Tooranloo, H. S. (2016). A model for failure mode and effects analysis based on intuitionistic fuzzy approach. Applied Soft Computing, 49, 238-247. http://dx.doi.org/10.1016/j.asoc.2016.07.047. http://dx.doi.org/10.1016/j.asoc.2016.07...
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Proposed a model for failure mode and effects analysis based on intuitionistic fuzzy approach. |
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Chang (2016)
Chang, K. H. (2016). Generalized multi-attribute failure mode analysis. Neurocomputing, 175, 90-100. http://dx.doi.org/10.1016/j.neucom.2015.10.039. http://dx.doi.org/10.1016/j.neucom.2015....
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Propose an integrated method, combining multiattribute failure mode analysis (MAFMA) and 2-tuple representation. |
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Guo (2016)
Guo, J. (2016). A risk assessment approach for failure mode and effects analysis based on intuitionistic fuzzy sets and evidence theory. Journal of Intelligent & Fuzzy Systems, 30(2), 869-881. http://dx.doi.org/10.3233/IFS-151809. http://dx.doi.org/10.3233/IFS-151809...
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Combines intuitionistic fuzzy sets (IFSs) with evidence theory to analyze the potential failure modes. |
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Huang et al. (2017)
Huang, J., Li, Z. S., & Liu, H. C. (2017). New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method. Reliability Engineering & System Safety, 167, 302-309. http://dx.doi.org/10.1016/j.ress.2017.06.014. http://dx.doi.org/10.1016/j.ress.2017.06...
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Applies linguistic distribution assessments and employs an improved TODIM in FMEA. |
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Yazdi et al. (2017)
Yazdi, M., Daneshvar, S., & Setareh, H. (2017). An extension to Fuzzy Developed Failure Mode and Effects Analysis (FDFMEA) application for aircraft landing system. Safety Science, 98, 113-123. http://dx.doi.org/10.1016/j.ssci.2017.06.009. http://dx.doi.org/10.1016/j.ssci.2017.06...
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Extend FMEA by considering a group decision-making under the fuzzy environment. |
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Liu et al. (2017)
Liu, H. C., Li, Z., Song, W., & Su, Q. (2017). Failure mode and effect analysis using cloud model theory and PROMETHEE method. IEEE Transactions on Reliability, 66(4), 1058-1072. http://dx.doi.org/10.1109/TR.2017.2754642. http://dx.doi.org/10.1109/TR.2017.275464...
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Failure Mode and Effect Analysis Using Cloud Model Theory and PROMETHEE Method. |
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Foroozesh et al. (2018)
Foroozesh, N., Tavakkoli-Moghaddam, R., & Mousavi, S. M. (2018). Sustainable-supplier selection for manufacturing services: a failure mode and effects analysis model based on interval-valued fuzzy group decision-making. International Journal of Advanced Manufacturing Technology, 95(9-12), 3609-3629. http://dx.doi.org/10.1007/s00170-017-1308-8. http://dx.doi.org/10.1007/s00170-017-130...
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Utilizes IVFSs and mean-variance-skewness concepts by a group of supply chain-experts to solve a selection problem. |
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Zhu et al. (2018)
Zhu, J., Wang, R., & Li, Y. (2018). Failure mode and effects analysis considering consensus and preferences interdependence. Algorithms, 11(4), 34. http://dx.doi.org/10.3390/a11040034. http://dx.doi.org/10.3390/a11040034...
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Failure Mode and Effects Analysis Considering Consensus and Preferences Interdependence. |
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Zhang et al. (2019)
Zhang, H., Dong, Y., Palomares-Carrascosa, I., & Zhou, H. (2019). Failure mode and effect analysis in a linguistic context: a consensus-based multiattribute group decision-making approach. IEEE Transactions on Reliability, 68(2), 566-582. http://dx.doi.org/10.1109/TR.2018.2869787. http://dx.doi.org/10.1109/TR.2018.286978...
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Proposes a consensus based group decision making framework for FMEA. |
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Wang et al. (2018)
Wang, W., Liu, X., Qin, Y., & Fu, Y. (2018). A risk evaluation and prioritization method for FMEA with prospect theory and Choquet integral. Safety Science, 110, 152-163. http://dx.doi.org/10.1016/j.ssci.2018.08.009. http://dx.doi.org/10.1016/j.ssci.2018.08...
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A risk evaluation and prioritization method for FMEA with prospect theory and Choquet integral. |
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Chang et al. (2018)
Chang, K. H., Wen, T. C., & Chung, H. Y. (2018). Soft failure mode and effects analysis using the OWG operator and hesitant fuzzy linguistic term sets. Journal of Intelligent & Fuzzy Systems, 34(4), 2625-2639. http://dx.doi.org/10.3233/JIFS-17594. http://dx.doi.org/10.3233/JIFS-17594...
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Integrates the ordered weighted geometric (OWG) operator and hesitant fuzzy linguistic term sets. |
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Our proposal
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Combining FMEA with DHFS. |
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