Khám Phá Các Phân Loại Thứ Tự của Chế Độ Hỏng trong Quản Lý Độ Tin Cậy: Một Mô Hình Đồng Thuận Dựa Trên Tối Ưu Với Độ Tin Cậy Giới Hạn

Altuzarra A, Moreno-Jiménez JM, Salvador M (2010) Consensus building in AHP-group decision making: a Bayesian approach. Oper Res 58:1755–1773 Ardeshirtanha K, Sharafati A (2020) Assessment of water supply dam failure risk: Development of new stochastic failure modes and effects analysis. Water Resour Manag 34:1827–1841 Baghery M, Yousefi S, Rezaee MJ (2018) Risk measurement and prioritization of auto parts manufacturing processes based on process failure analysis, interval data envelopment analysis and grey relational analysis. J Intell Manuf 29:1803–1825 Ben-Arieh D, Easton T (2007) Multi-criteria group consensus under linear cost opinion elasticity. Decis Support Syst 43:713–721 Bhuvanesh Kumar M, Parameshwaran R (2018) Fuzzy integrated QFD, FMEA framework for the selection of lean tools in a manufacturing organisation. Prod Plan Control 29:403–417 Bowles JB, Peláez CE (1995) Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliab Eng Syst Saf 50:203–213 Bozdag E, Asan U, Soyer A, Serdarasan S (2015) Risk prioritization in failure mode and effects analysis using interval type-2 fuzzy sets. Expert Syst Appl 42:4000–4015 Catelani M, Ciani L, Venzi M (2018) Failure modes, mechanisms and effect analysis on temperature redundant sensor stage. Reliab Eng Syst Saf 180:425–433 Certa A, Enea M, Galante GM, La Fata CM (2017) ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number. Comput Ind Eng 108:100–110 Chao XR, Kou G, Peng Y, Herrera-Viedma E (2021) Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion. Eur J Oper Res 288:271–293 Chen X, Liang HM, Gao Y, Xu WJ (2020) A method based on the disappointment almost stochastic dominance degree for the multi-attribute decision making with linguistic distributions. Inf Fus 54:10–20 Cheng D, Yuan YX, Wu Y, Hao TT, Cheng FX (2021) Maximum satisfaction consensus with budget constraints considering individual tolerance and compromise limit behaviors. Eur J Oper Res. https://doi.org/10.1016/j.ejor.2021.04.051 Chiclana F, Tapia García JM, del Moral MJ, Herrera-Viedma E (2013) A statistical comparative study of different similarity measures of consensus in group decision making. Inf Sci 221:110–123 Chin KS, Wang YM, Ka Kwai Poon G, Yang JB (2009) Failure mode and effects analysis using a group-based evidential reasoning approach. Comput Oper Res 36:1768–1779 Das Adhikary D, Kumar Bose G, Bose D, Mitra S (2014) Multi criteria FMECA for coal-fired thermal power plants using COPRAS-G. Int J Quality Reliabil Manag 31:601–614 Dong YC, Xu YF, Yu S (2009) Computing the numerical scale of the linguistic term set for the 2-tuple fuzzy linguistic representation model. IEEE Trans Fuzzy Syst 17:1366–1378 Dong YC, Zhan M, Kou G, Ding ZG, Liang HM (2018) A survey on the fusion process in opinion dynamics. Inf Fus 43:57–65 Faiella G, Parand A, Franklin BD, Chana P, Cesarelli M, Stanton NA, Sevdalis N (2018) Expanding healthcare failure mode and effect analysis: a composite proactive risk analysis approach. Reliab Eng Syst Saf 169:117–126 Gou XJ, Xu ZS, Liao HC, Herrera F (2021) Consensus model handling minority opinions and noncooperative behaviors in large-scale group decision-making under double hierarchy linguistic preference relations. IEEE Trans Cybernet 51:283–296 Herrera F, Martinez L (2000) A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans Fuzzy Syst 8:746–752 Herrera-Viedma E, Cabrerizo FJ, Kacprzyk J, Pedrycz W (2014) A review of soft consensus models in a fuzzy environment. Inf Fus 17:4–13 Herrera-Viedma E, Chiclana F, Dong YC, Loia V, Kou G, Fujita H (2018) Guest editorial: Intelligent decision making and consensus under uncertainty in inconsistent and dynamic environments. Knowl-Based Syst 162:1–2 Huang J, Li Z, Liu HC (2017) New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method. Reliab Eng Syst Saf 167:302–309 Huang J, You JX, Liu HC, Song MS (2020) Failure mode and effect analysis improvement: A systematic literature review and future research agenda. Reliab Eng Syst Saf 199:106885 Jee TL, Tay KM, Lim CP (2015) A new two-stage fuzzy inference system-based approach to prioritize failures in failure mode and effect analysis. IEEE Trans Reliab 64:869–877 Ju YB, Liang YY, Luis M, Santibanez Gonzalez EDR, Giannakis M, Dong P, Wang A (2020) A new framework for health-care waste disposal alternative selection under multi-granular linguistic distribution assessment environment. Comput Ind Eng 145:106489 Ko WC (2013) Exploiting 2-tuple linguistic representational model for constructing HOQ-based failure modes and effects analysis. Comput Ind Eng 64:858–865 Kutlu AC, Ekmekçioğlu M (2012) Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Syst Appl 39:61–67 Li Z, Xiao FY, Fei LG, Mahadevan S, Deng Y (2017) An evidential failure mode and effects analysis using linguistic terms. Qual Reliab Eng Int 33:993–1010 Li CC, Dong YC, Pedrycz W, Herrera F (2020) Integrating continual personalized individual semantics learning in consensus reaching in linguistic group decision making. IEEE Trans Syst Man Cybernet Syst. https://doi.org/10.1109/TSMC.2020.3031086 Liu HC, Liu L, Liu N, Mao LX (2012) Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment. Expert Syst Appl 39:12926–12934 Liu HC, Liu L, Lin QL (2013) Fuzzy failure mode and effects analysis using fuzzy evidential reasoning and belief rule-based methodology. IEEE Trans Reliab 62:23–36 Liu HC, You JX, Fan XJ, Lin QL (2014) Failure mode and effects analysis using D numbers and grey relational projection method. Expert Syst Appl 41:4670–4679 Liu HC, You JX, Li P, Su Q (2016a) Failure mode and effect analysis under uncertainty: An integrated multiple criteria decision making approach. IEEE Trans Reliab 65:1380–1392 Liu HC, You JX, Chen SM, Chen YZ (2016b) An integrated failure mode and effect analysis approach for accurate risk assessment under uncertainty. IIE Trans 48:1027–1042 Liu HC, Li ZJ, Song WY, Su Q (2017) Failure mode and effect analysis using cloud model theory and PROMETHEE method. IEEE Trans Reliab 66:1058–1072 Liu HC, You JX, Duan CY (2019) An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment. Int J Prod Econ 207:163–172 Liu Y, Zhou T, Forrest JYL (2020) A multivariate minimum cost consensus model for negotiations of holdout demolition. Group Decis Negot 29:871–899 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 Syst Appl 42:6342–6349 Pillay A, Wang J (2003) Modified failure mode and effects analysis using approximate reasoning. Reliab Eng Syst Saf 79:69–85 Shrestha SM, Mallineni JK, Yedidi KR, Knisely B, Tatapudi S, Kuitche J, TamizhMani G (2015) Determination of dominant failure modes using FMECA on the field deployed c-Si modules under hot-dry desert climate. IEEE Journal of Photovoltaics 5:174–182 Song WY, Ming XG, Wu ZY, Zhu BT (2013) Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS. Int J Comput Integr Manuf 26:1172–1186 Song WY, Ming XG, Wu ZY, Zhu BT (2014) A rough TOPSIS approach for failure mode and effects analysis in uncertain environments. Qual Reliab Eng Int 30:473–486 Susskind LE, McKearnen S, Thomas-Lamar J (1999) The consensus building handbook: a comprehensive guide to reaching agreement. Sage Publications, London Wang Z, Gao JM, Wang RX, Chen K, Gao ZY, Zheng W (2018) Failure mode and effects analysis by using the house of reliability-based rough VIKOR approach. IEEE Trans Reliab 67:230–248 Wang WZ, Liu XW, Qin JD, Liu SL (2019) An extended generalized TODIM for risk evaluation and prioritization of failure modes considering risk indicators interaction. IISE Transactions 51:1236–1250 Wang WZ, Liu XW, Liu SL (2020) Failure mode and effect analysis for machine tool risk analysis using extended gained and lost dominance score method. IEEE Trans Reliab 69:954–967 Wu YZ, Li CC, Chen X, Dong YC (2018) Group decision making based on linguistic distributions and hesitant assessments: Maximizing the support degree with an accuracy constraint. Inf Fus 41:151–160 Wu YZ, Dong YC, Qin J, Pedrycz W (2020) Flexible linguistic expressions and consensus reaching with accurate constraints in group decision-making. IEEE Trans Cybernet 50:2488–2501 Wu YZ, Zhang Z, Kou G, Zhang HJ, Chao XR, Li CC, Dong YC, Herrera F (2021) Distributed linguistic representations in decision making: taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence. Inf Fus 65:165–178 Xiao J, Wang XL, Zhang HJ (2020a) Managing personalized individual semantics and consensus in linguistic distribution large-scale group decision making. Inf Fus 53:20–34 Xiao J, Wang XL, Zhang HJ (2020b) Managing classification-based consensus in social network group decision making: an optimization-based approach with minimum information loss. Inf Fus 63:74–87 Xu WJ, Chen X, Dong YC, Chiclana F (2020) Impact of decision rules and non-cooperative behaviors on minimum consensus cost in group decision making. Group Decis Negot. https://doi.org/10.1007/s10726-020-09653-7 Yang ZL, Wang J (2015) Use of fuzzy risk assessment in FMEA of offshore engineering systems. Ocean Eng 95:195–204 Yang Z, Bonsall S, Wang J (2008) Fuzzy rule-based bayesian reasoning approach for prioritization of failures in FMEA. IEEE Trans Reliab 57:517–528 Yu SM, Du ZJ, Xu XH (2020) Hierarchical punishment-driven consensus model for probabilistic linguistic large-group decision making with application to global supplier selection. Group Decis Negot. https://doi.org/10.1007/s10726-020-09681-3 Zha QB, Liang HM, Kou G, Dong YC, Yu S (2019) A feedback mechanism with bounded confidence- based optimization approach for consensus reaching in multiple attribute large-scale group decision-making. IEEE Trans Comput Soc Syst 6:994–1006 Zhang GQ, Dong YC, Xu YF (2014) Consistency and consensus measures for linguistic preference relations based on distribution assessments. Inf Fus 17:46–55 Zhang BW, Dong YC, Herrera-Viedma E (2019) Group decision making with heterogeneous preference structures: an automatic mechanism to support consensus reaching. Group Decis Negot 28:585–617 Zhang BW, Dong YC, Feng X, Pedrycz W (2020a) Maximum fuzzy consensus feedback mechanism with minimum cost and private interest in group decision making. IEEE Trans Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2020.3006559 Zhang HJ, Xiao J, Palomares I, Liang HM, Dong YC (2020b) Linguistic distribution-based optimization approach for large-scale GDM with comparative linguistic information: an application on the selection of wastewater disinfection technology. IEEE Trans Fuzzy Syst 28:376–389 Zhang Z, Gao Y, Li Z (2020c) Consensus reaching for social network group decision making by considering leadership and bounded confidence. Knowl-Based Syst 204:106240 Zhang Z, Li ZL, Gao Y (2021) Consensus reaching for group decision making with multi-granular unbalanced linguistic information: a bounded confidence and minimum adjustment-based approach. Information Fusion 74:96–110 Zhou YQ, Xia JW, Zhong YT, Pang JH (2016) An improved FMEA method based on the linguistic weighted geometric operator and fuzzy priority. Qual Eng 28:491–498