Failure mode and effects analysis by integrating Bayesian fuzzy assessment number and extended gray relational analysis‐technique for order preference by similarity to ideal solution method
Failure mode and effects analysis (FMEA) is a prospective risk assessment tool used to identify, assess, and eliminate potential failure modes (FMs) in various industries to improve security and reliability. However, the traditional FMEA method has been criticized for several shortcomings and even t...
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| Veröffentlicht in: | Quality and reliability engineering international Jg. 35; H. 6; S. 1676 - 1697 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Bognor Regis
Wiley Subscription Services, Inc
01.10.2019
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| ISSN: | 0748-8017, 1099-1638 |
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| Abstract | Failure mode and effects analysis (FMEA) is a prospective risk assessment tool used to identify, assess, and eliminate potential failure modes (FMs) in various industries to improve security and reliability. However, the traditional FMEA method has been criticized for several shortcomings and even the improved FMEA methods based on predefined linguistic terms cannot meet the needs of FMEA team members' diversified opinion expressions. To solve these problems, a novel FMEA method is proposed by integrating Bayesian fuzzy assessment number (BFAN) and extended gray relational analysis‐technique for order preference by similarity to ideal solution (GRA‐TOPSIS) method. First, the BFANs are used to flexibly describe the risk evaluation results of the identified failure modes. Second, the Hausdorff distance between BFANs is calculated by using the probability density function (PDF). Finally, on the basis of the distance, the extended GRA‐TOPSIS method is applied to prioritize failure modes. A simulation study is presented to verify the effectiveness of the proposed approach in dealing with vague concepts and show its advantages over existing FMEA methods. Furthermore, a real case concerning the risk evaluation of aero‐engine turbine and compressor blades is provided to illustrate the practical application of the proposed method and particularly show the potential of using the BFANs in capturing FMEA team members' diverse opinions. |
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| AbstractList | Failure mode and effects analysis (FMEA) is a prospective risk assessment tool used to identify, assess, and eliminate potential failure modes (FMs) in various industries to improve security and reliability. However, the traditional FMEA method has been criticized for several shortcomings and even the improved FMEA methods based on predefined linguistic terms cannot meet the needs of FMEA team members' diversified opinion expressions. To solve these problems, a novel FMEA method is proposed by integrating Bayesian fuzzy assessment number (BFAN) and extended gray relational analysis‐technique for order preference by similarity to ideal solution (GRA‐TOPSIS) method. First, the BFANs are used to flexibly describe the risk evaluation results of the identified failure modes. Second, the Hausdorff distance between BFANs is calculated by using the probability density function (PDF). Finally, on the basis of the distance, the extended GRA‐TOPSIS method is applied to prioritize failure modes. A simulation study is presented to verify the effectiveness of the proposed approach in dealing with vague concepts and show its advantages over existing FMEA methods. Furthermore, a real case concerning the risk evaluation of aero‐engine turbine and compressor blades is provided to illustrate the practical application of the proposed method and particularly show the potential of using the BFANs in capturing FMEA team members' diverse opinions. |
| Author | Liu, Weidong Chen, Binsong Wu, Zhongyi Nie, Wenbin Wu, Lulu |
| Author_xml | – sequence: 1 givenname: Wenbin surname: Nie fullname: Nie, Wenbin organization: Nanchang Hangkong University – sequence: 2 givenname: Weidong surname: Liu fullname: Liu, Weidong email: liuwd@ncu.edu.cn organization: Nanchang Hangkong University – sequence: 3 givenname: Zhongyi surname: Wu fullname: Wu, Zhongyi organization: Nanchang University – sequence: 4 givenname: Binsong surname: Chen fullname: Chen, Binsong organization: Nanchang Hangkong University – sequence: 5 givenname: Lulu surname: Wu fullname: Wu, Lulu organization: Nanchang Hangkong University |
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| Cites_doi | 10.1108/09576060110391174 10.1016/0020-0190(91)90233-8 10.1002/qre.2268 10.1016/j.eswa.2012.08.010 10.1016/S0019-9958(65)90241-X 10.1007/s00500-017-2664-x 10.1002/qre.528 10.1016/S0165-0114(98)00459-X 10.1016/j.ress.2017.09.017 10.1016/j.eswa.2011.06.044 10.3390/s17092086 10.1108/IJQRM-10-2013-0169 10.1080/14783363.2017.1337506 10.1016/j.ssci.2016.10.006 10.1007/978-3-642-48318-9 10.1108/02656710010353885 10.1109/TR.2017.2778316 10.1002/qre.1753 10.1016/j.engappai.2018.10.005 10.1016/j.eswa.2014.01.031 10.1007/s00500-014-1321-x 10.1504/IJPQM.2017.087864 10.1016/j.ssci.2015.05.010 10.1108/02656719610108297 10.1016/S0951-8320(02)00179-5 10.1109/TR.2016.2570567 10.1007/s00500-018-3480-7 10.1002/qre.2075 10.1080/08982112.2018.1448089 10.1016/j.ssci.2015.11.013 10.1016/j.cie.2016.09.015 10.1016/j.patrec.2005.08.014 10.1016/j.asoc.2017.04.008 10.1016/j.engappai.2018.08.010 10.1016/0951-8320(95)00068-D 10.1002/qre.1500 10.1108/02656719310040105 10.1007/978-3-642-11220-1 10.1016/j.asoc.2016.07.047 10.1007/s00170-014-6466-3 10.1016/j.eswa.2012.05.031 10.1016/j.eswa.2010.09.110 10.1016/j.cor.2008.05.002 10.1002/qre.1633 10.1108/03684929910300295 10.1080/14783363.2017.1317585 10.1016/j.asoc.2016.08.043 |
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| References | 2015; 79 2011; 118 2015; 31 2015; 77 2018; 169 2015; 32 2016; 32 2016; 101 2003; 19 2000; 17 2013; 16 1965; 8 2006; 27 2017; 33 2018; 30 2016; 83 1981 2018; 34 1985; 11 2001; 12 2016; 49 2018; 76 1995; 50 2015; 19 1989; 1 2019; 30 2019; 77 2010 2013; 40 1999; 28 2017; 22 2000; 22 2003; 79 2008 2012; 39 1991 2002 2018; 67 2014; 41 2011; 38 2018; 22 1996; 13 2009; 36 1974; 23 2017; 92 2017; 17 1993; 10 2017; 57 2015; 21 2016; 65 2018 2017 2014; 30 2018; 15 2016; 22 e_1_2_8_28_1 e_1_2_8_24_1 e_1_2_8_47_1 e_1_2_8_26_1 e_1_2_8_49_1 Xiong HJ (e_1_2_8_22_1) 2000; 22 e_1_2_8_5_1 e_1_2_8_7_1 e_1_2_8_9_1 e_1_2_8_43_1 e_1_2_8_45_1 Yang C (e_1_2_8_3_1) 2018; 15 e_1_2_8_41_1 e_1_2_8_17_1 e_1_2_8_19_1 Swaine RB (e_1_2_8_52_1) 1974; 23 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_59_1 e_1_2_8_15_1 e_1_2_8_57_1 Deng JL (e_1_2_8_20_1) 1989; 1 Nie W‐B (e_1_2_8_38_1) 2016; 22 e_1_2_8_32_1 e_1_2_8_55_1 e_1_2_8_11_1 e_1_2_8_34_1 Guo JP (e_1_2_8_58_1) 2013; 16 e_1_2_8_30_1 e_1_2_8_29_1 e_1_2_8_25_1 e_1_2_8_46_1 e_1_2_8_27_1 e_1_2_8_48_1 e_1_2_8_2_1 Tsitsiklis JN (e_1_2_8_53_1) 2002 e_1_2_8_4_1 e_1_2_8_6_1 Law AM (e_1_2_8_50_1) 1991 e_1_2_8_8_1 Down M (e_1_2_8_10_1) 2008 e_1_2_8_21_1 e_1_2_8_42_1 Jaynes E T (e_1_2_8_51_1) 1985; 11 Nie W‐B (e_1_2_8_54_1) 2015; 21 e_1_2_8_23_1 e_1_2_8_44_1 e_1_2_8_40_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_16_1 e_1_2_8_37_1 e_1_2_8_31_1 e_1_2_8_56_1 e_1_2_8_12_1 e_1_2_8_33_1 |
| References_xml | – volume: 67 start-page: 230 issue: 1 year: 2018 end-page: 248 article-title: Failure mode and effects analysis by using the house of reliability‐based rough VIKOR approach publication-title: IEEE Trans Reliab – volume: 30 start-page: 473 issue: 4 year: 2014 end-page: 486 article-title: A rough TOPSIS approach for failure mode and effects analysis in uncertain environments publication-title: Qual Reliab Eng Int – volume: 38 start-page: 4403 issue: 4 year: 2011 end-page: 4415 article-title: Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory publication-title: Expert Syst Appl – volume: 19 start-page: 1085 issue: 4 year: 2015 end-page: 1098 article-title: Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach publication-title: Soft Comput – year: 1981 – volume: 50 start-page: 203 issue: 2 year: 1995 end-page: 213 article-title: Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis publication-title: Reliab Eng Syst Safety – volume: 8 start-page: 338 issue: 3 year: 1965 end-page: 353 article-title: Fuzzy sets publication-title: Info Control – volume: 40 start-page: 828 issue: 2 year: 2013 end-page: 838 article-title: Risk evaluation approaches in failure mode and effects analysis: a literature review publication-title: Expert Syst Appl – volume: 17 start-page: 1017 issue: 9 year: 2000 end-page: 1033 article-title: MAFMA: multi‐attribute failure mode analysis publication-title: Int J Qual Reliab Mgt – volume: 32 start-page: 763 issue: 7 year: 2015 end-page: 782 article-title: Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method publication-title: Int J Qual Reliabil Mgt – volume: 13 start-page: 43 issue: 1 year: 1996 end-page: 47 article-title: A revised failure mode and effects analysis model publication-title: Int J Qual Reliab Mgt – volume: 169 start-page: 394 year: 2018 end-page: 402 article-title: A combined multi‐criteria approach to support FMECA analyses: a real‐world case publication-title: Reliab Eng Syst Saf – volume: 79 start-page: 69 issue: 1 year: 2003 end-page: 85 article-title: Modified failure mode and effects analysis using approximate reasoning publication-title: Reliabil Eng Syst Safety – start-page: 1 year: 2008 end-page: 77 – volume: 39 start-page: 12926 issue: 17 year: 2012 end-page: 12934 article-title: Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment publication-title: Expert Syst Appl – volume: 22 start-page: 2602 issue: 11 year: 2016 end-page: 2612 article-title: Evaluation approach in process failure risk analysis based on matrix similarity and evidence theory publication-title: Comp Integ Mftg Syst – volume: 32 start-page: 737 issue: 2 year: 2016 end-page: 746 article-title: New failure mode and effects analysis: an evidential downscaling method publication-title: Qual Reliab Eng Int – volume: 15 start-page: 26 year: 2018 end-page: 32 article-title: A practical solution for HVAC prognostics: failure mode and effects analysis in building maintenance publication-title: J Bldg Eng – volume: 12 start-page: 211 issue: 3 year: 2001 end-page: 216 article-title: Failure mode and effects analysis using grey theory publication-title: Integ Mftg Syst – volume: 49 start-page: 238 year: 2016 end-page: 247 article-title: A model for failure mode and effects analysis based on intuitionistic fuzzy approach publication-title: Appl Soft Comput – volume: 23 start-page: 204 issue: 2 year: 1974 article-title: Theory of probability publication-title: Dent Tech – volume: 77 start-page: 136 year: 2019 end-page: 147 article-title: A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method publication-title: Eng Appl Artif Intel – volume: 77 start-page: 357 issue: 1–4 year: 2015 end-page: 368 article-title: A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process publication-title: Int J Adv Mftg Technol – volume: 22 start-page: 8 issue: 1 year: 2000 end-page: 11 article-title: Some extensions of Grey relational grade formula publication-title: Syst Eng Electron – volume: 1 start-page: 1 issue: 1 year: 1989 end-page: 24 article-title: Introduction to Grey system theory publication-title: Sci‐Tech Info Serv – volume: 76 start-page: 13 year: 2018 end-page: 20 article-title: A new failure mode and effects analysis model using Dempster–Shafer evidence theory and grey relational projection method publication-title: Eng Appl Artif Intel – volume: 92 start-page: 160 year: 2017 end-page: 172 article-title: An extended VIKOR method based on entropy measure for the failure modes risk assessment—a case study of the geothermal power plant (GPP) publication-title: Safety Sci – volume: 10 start-page: 16 issue: 5 year: 1993 end-page: 23 article-title: Modeling failure mode and effect analysis publication-title: Int J Qual Reliab Mgt – volume: 65 start-page: 1380 issue: 3 year: 2016 end-page: 1392 article-title: Failure mode and effect analysis under uncertainty: an integrated multiple criteria decision making approach publication-title: IEEE Trans Reliab – volume: 30 start-page: 537 issue: 5‐6 year: 2019 end-page: 564 article-title: Systematic failure mode and effect analysis using a hybrid multiple criteria decision‐making approach publication-title: Total Qual Manag Bus Excell – volume: 22 start-page: 4779 issue: 14 year: 2018 end-page: 4787 article-title: A new method to evaluate risk in failure mode and effects analysis under fuzzy information publication-title: Soft Comput – volume: 118 start-page: 65 issue: 1 year: 2011 end-page: 73 article-title: A fuzzy approach to select the location of the distribution center publication-title: Fuzzy Set Syst – volume: 101 start-page: 286 year: 2016 end-page: 294 article-title: Classical and fuzzy FMEA risk analysis in a sterilization unit publication-title: Comp Indus Eng – volume: 11 issue: 11 year: 1985 end-page: 25 article-title: Bayesian methods: general background. An introductory tutorial publication-title: Max Entropy Bayesian Meth Applied Stat – volume: 21 start-page: 2484 issue: 9 year: 2015 end-page: 2493 article-title: Process failure risk assessment based on group decision‐making and generalized hausdorff distance publication-title: Comp Integ Mftg Syst – volume: 49 start-page: 734 issue: C year: 2016 end-page: 747 article-title: A perceptual computing‐based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming publication-title: Appl Soft Comput – volume: 39 start-page: 61 issue: 1 year: 2012 end-page: 67 article-title: Fuzzy failure modes and effects analysis by using fuzzy TOPSIS‐based fuzzy AHP publication-title: Expert Syst Appl – volume: 31 start-page: 761 issue: 5 year: 2015 end-page: 772 article-title: A novel approach for FMEA: combination of interval 2‐tuple linguistic variables and grey relational analysis publication-title: Qual Reliab Eng Int – year: 2010 – volume: 19 start-page: 425 issue: 5 year: 2003 end-page: 443 article-title: Fuzzy TOPSIS approach for failure mode, effects and criticality analysis publication-title: Qual Reliab Eng Int – volume: 79 start-page: 94 year: 2015 end-page: 104 article-title: A hybrid risk analysis method for a yacht fuel system safety publication-title: Safety Sci – volume: 30 start-page: 762 issue: 4 year: 2018 end-page: 775 article-title: An improved approach for failure mode and effect analysis involving large group of experts: an application to the healthcare field publication-title: Quality Eng – volume: 17 start-page: 2086 issue: 9 year: 2017 article-title: Fuzzy risk evaluation in failure mode and effects analysis using a D numbers based multi‐sensor information fusion method publication-title: Sensors – volume: 16 start-page: 21 issue: 3 year: 2013 end-page: 28 article-title: K‐means clustering of generally distributed interval symbolic data publication-title: J Mgt Sci China – volume: 22 start-page: 466 issue: 4 year: 2017 end-page: 484 article-title: Failure mode and effect analysis using fuzzy analytic hierarchy process and GRA‐TOPSIS in manufacturing industry publication-title: Int J Product Qual Mgt – year: 2002 – volume: 83 start-page: 74 year: 2016 end-page: 79 article-title: Fuzzy and grey theories in failure mode and effect analysis for tanker equipment failure prediction publication-title: Safety Sci – volume: 41 start-page: 4670 issue: 10 year: 2014 end-page: 4679 article-title: Failure mode and effects analysis using D numbers and grey relational projection method publication-title: Expert Syst Appl – volume: 34 start-page: 501 issue: 8 year: 2018 end-page: 515 article-title: Failure mode and effects analysis based on D numbers and TOPSIS publication-title: Qual Reliab Eng Int – volume: 57 start-page: 672 year: 2017 end-page: 683 article-title: Failure mode and effects analysis based on a novel fuzzy evidential method publication-title: Appl Soft Comput – volume: 28 start-page: 1072 issue: 9 year: 1999 end-page: 1080 article-title: Failure mode and effects analysis using fuzzy method and grey theory publication-title: Kybernetes – volume: 33 start-page: 993 issue: 5 year: 2017 end-page: 1010 article-title: An evidential failure mode and effects analysis using linguistic terms publication-title: Qual Reliab Eng Int – volume: 36 start-page: 1768 issue: 6 year: 2009 end-page: 1779 article-title: Failure mode and effects analysis using a group‐based evidential reasoning approach publication-title: Comp Operat Res – year: 1991 – year: 2017 article-title: Failure mode and effect analysis with extended grey relational analysis method in cloud setting publication-title: Total Qual Manag Bus Excell – volume: 27 start-page: 167 issue: 3 year: 2006 end-page: 179 article-title: Adaptive Hausdorff distances and dynamic clustering of symbolic interval data publication-title: Pattern Recog Lett – year: 2018 article-title: An integrated approach for failure mode and effect analysis based on uncertain linguistic GRA‐TOPSIS method publication-title: Soft Comput – ident: e_1_2_8_21_1 doi: 10.1108/09576060110391174 – ident: e_1_2_8_56_1 doi: 10.1016/0020-0190(91)90233-8 – ident: e_1_2_8_11_1 doi: 10.1002/qre.2268 – volume: 16 start-page: 21 issue: 3 year: 2013 ident: e_1_2_8_58_1 article-title: K‐means clustering of generally distributed interval symbolic data publication-title: J Mgt Sci China – ident: e_1_2_8_2_1 doi: 10.1016/j.eswa.2012.08.010 – ident: e_1_2_8_47_1 doi: 10.1016/S0019-9958(65)90241-X – volume-title: Introduction to Probability year: 2002 ident: e_1_2_8_53_1 – volume: 21 start-page: 2484 issue: 9 year: 2015 ident: e_1_2_8_54_1 article-title: Process failure risk assessment based on group decision‐making and generalized hausdorff distance publication-title: Comp Integ Mftg Syst – ident: e_1_2_8_39_1 doi: 10.1007/s00500-017-2664-x – ident: e_1_2_8_29_1 doi: 10.1002/qre.528 – ident: e_1_2_8_48_1 doi: 10.1016/S0165-0114(98)00459-X – ident: e_1_2_8_13_1 doi: 10.1016/j.ress.2017.09.017 – ident: e_1_2_8_4_1 doi: 10.1016/j.eswa.2011.06.044 – ident: e_1_2_8_16_1 doi: 10.3390/s17092086 – ident: e_1_2_8_25_1 doi: 10.1108/IJQRM-10-2013-0169 – ident: e_1_2_8_31_1 doi: 10.1080/14783363.2017.1337506 – volume: 22 start-page: 2602 issue: 11 year: 2016 ident: e_1_2_8_38_1 article-title: Evaluation approach in process failure risk analysis based on matrix similarity and evidence theory publication-title: Comp Integ Mftg Syst – start-page: 1 volume-title: Potential failure mode and effect analysis (FMEA) reference manual year: 2008 ident: e_1_2_8_10_1 – ident: e_1_2_8_27_1 doi: 10.1016/j.ssci.2016.10.006 – volume: 1 start-page: 1 issue: 1 year: 1989 ident: e_1_2_8_20_1 article-title: Introduction to Grey system theory publication-title: Sci‐Tech Info Serv – ident: e_1_2_8_23_1 doi: 10.1007/978-3-642-48318-9 – ident: e_1_2_8_46_1 doi: 10.1108/02656710010353885 – ident: e_1_2_8_12_1 doi: 10.1109/TR.2017.2778316 – volume: 22 start-page: 8 issue: 1 year: 2000 ident: e_1_2_8_22_1 article-title: Some extensions of Grey relational grade formula publication-title: Syst Eng Electron – ident: e_1_2_8_43_1 doi: 10.1002/qre.1753 – ident: e_1_2_8_34_1 doi: 10.1016/j.engappai.2018.10.005 – ident: e_1_2_8_35_1 doi: 10.1016/j.eswa.2014.01.031 – ident: e_1_2_8_7_1 doi: 10.1007/s00500-014-1321-x – volume: 11 issue: 11 year: 1985 ident: e_1_2_8_51_1 article-title: Bayesian methods: general background. An introductory tutorial publication-title: Max Entropy Bayesian Meth Applied Stat – ident: e_1_2_8_33_1 doi: 10.1504/IJPQM.2017.087864 – ident: e_1_2_8_5_1 doi: 10.1016/j.ssci.2015.05.010 – volume: 23 start-page: 204 issue: 2 year: 1974 ident: e_1_2_8_52_1 article-title: Theory of probability publication-title: Dent Tech – ident: e_1_2_8_45_1 doi: 10.1108/02656719610108297 – ident: e_1_2_8_14_1 doi: 10.1016/S0951-8320(02)00179-5 – ident: e_1_2_8_8_1 doi: 10.1109/TR.2016.2570567 – ident: e_1_2_8_18_1 doi: 10.1007/s00500-018-3480-7 – volume-title: Simulation Modelling and Analysis year: 1991 ident: e_1_2_8_50_1 – ident: e_1_2_8_59_1 doi: 10.1002/qre.2075 – ident: e_1_2_8_6_1 doi: 10.1080/08982112.2018.1448089 – ident: e_1_2_8_15_1 doi: 10.1016/j.ssci.2015.11.013 – ident: e_1_2_8_24_1 doi: 10.1016/j.cie.2016.09.015 – ident: e_1_2_8_57_1 doi: 10.1016/j.patrec.2005.08.014 – volume: 15 start-page: 26 year: 2018 ident: e_1_2_8_3_1 article-title: A practical solution for HVAC prognostics: failure mode and effects analysis in building maintenance publication-title: J Bldg Eng – ident: e_1_2_8_42_1 doi: 10.1016/j.asoc.2017.04.008 – ident: e_1_2_8_40_1 doi: 10.1016/j.engappai.2018.08.010 – ident: e_1_2_8_9_1 doi: 10.1016/0951-8320(95)00068-D – ident: e_1_2_8_32_1 doi: 10.1002/qre.1500 – ident: e_1_2_8_44_1 doi: 10.1108/02656719310040105 – ident: e_1_2_8_55_1 doi: 10.1007/978-3-642-11220-1 – ident: e_1_2_8_36_1 doi: 10.1016/j.asoc.2016.07.047 – ident: e_1_2_8_37_1 doi: 10.1007/s00170-014-6466-3 – ident: e_1_2_8_49_1 doi: 10.1016/j.eswa.2012.05.031 – ident: e_1_2_8_17_1 doi: 10.1016/j.eswa.2010.09.110 – ident: e_1_2_8_41_1 doi: 10.1016/j.cor.2008.05.002 – ident: e_1_2_8_30_1 doi: 10.1002/qre.1633 – ident: e_1_2_8_28_1 doi: 10.1108/03684929910300295 – ident: e_1_2_8_26_1 doi: 10.1080/14783363.2017.1317585 – ident: e_1_2_8_19_1 doi: 10.1016/j.asoc.2016.08.043 |
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| Title | Failure mode and effects analysis by integrating Bayesian fuzzy assessment number and extended gray relational analysis‐technique for order preference by similarity to ideal solution method |
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