메뉴 건너뛰기




Volumn 41, Issue 7, 2014, Pages 3527-3537

Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach

Author keywords

Fuzzy FMEA; Fuzzy set theory; Possibility theory; Regulatory compliance; Risk assessment; Similarity value measure

Indexed keywords

FAILURE MODES; FUZZY INFERENCE; FUZZY RULES; MEMBERSHIP FUNCTIONS; REGULATORY COMPLIANCE; RISK ANALYSIS; RISK ASSESSMENT;

EID: 84892372334     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.10.058     Document Type: Article
Times cited : (125)

References (29)
  • 1
  • 2
    • 0029481941 scopus 로고
    • Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis
    • J.B. Bowles, and C.E. Peláez Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis Reliability Engineering & System Safety 50 1995 203 213
    • (1995) Reliability Engineering & System Safety , vol.50 , pp. 203-213
    • Bowles, J.B.1    Peláez, C.E.2
  • 6
    • 67651028367 scopus 로고    scopus 로고
    • Fuzzy approaches to quality function deployment for new product design
    • L.H. Chen, and W.C. Ko Fuzzy approaches to quality function deployment for new product design Fuzzy Sets and Systems 160 2009 2620 2639
    • (2009) Fuzzy Sets and Systems , vol.160 , pp. 2620-2639
    • Chen, L.H.1    Ko, W.C.2
  • 7
    • 84867675766 scopus 로고    scopus 로고
    • Risk evaluation approaches in failure mode and effects analysis: A literature review
    • L. Chen, L. Liu, and N. Liu Risk evaluation approaches in failure mode and effects analysis: A literature review Expert Systems with Applications 40 2013 828 838
    • (2013) Expert Systems with Applications , vol.40 , pp. 828-838
    • Chen, L.1    Liu, L.2    Liu, N.3
  • 9
    • 23344444777 scopus 로고    scopus 로고
    • A fuzzy data envelopment analysis approach for FMEA
    • DOI 10.1016/j.pnucene.2005.03.016, PII S0149197005000314, Computational Intelligence in Nuclear Applications: Lessons Learned and Recent Developments
    • P.A.A. Garcia, R. Schirru, and P.F. Frutuoso Emelo A fuzzy data envelopment analysis approach for FMEA Progress in Nuclear Energy 46 2005 359 373 (Pubitemid 41101276)
    • (2005) Progress in Nuclear Energy , vol.46 , Issue.3-4 , pp. 359-373
    • Garcia, P.A.A.1    Schirru, R.2    Frutuoso Melo, P.F.3
  • 10
    • 79952191308 scopus 로고    scopus 로고
    • Criticality assessment models for failure mode effects and criticality analysis using fuzzy logic
    • H. Gargama, and S.K. Chaturvedi Criticality assessment models for failure mode effects and criticality analysis using fuzzy logic IEEE Transactions on Reliability 60 2011 102 110
    • (2011) IEEE Transactions on Reliability , vol.60 , pp. 102-110
    • Gargama, H.1    Chaturvedi, S.K.2
  • 11
    • 33748666431 scopus 로고    scopus 로고
    • Hazard and operability study using approximate reasoning in light-water reactors passive systems
    • DOI 10.1016/j.nucengdes.2005.11.007, PII S0029549305004231
    • A. Guimaraes, and C.M. Lapa Hazard and operability study using approximate reasoning in light-water reactors passive systems Nuclear Engineering and Design 236 2006 1256 1263 (Pubitemid 44382525)
    • (2006) Nuclear Engineering and Design , vol.236 , Issue.12 , pp. 1256-1263
    • Guimaraes, A.C.F.1    Lapa, C.M.F.2
  • 12
    • 0344604319 scopus 로고    scopus 로고
    • Comparing two methods for addressing uncertainty in risk assessments
    • DOI 10.1061/(ASCE)0733-9372(1999)125:7(660)
    • D. Guyonnet, B. Come, P. Perrochet, and A. Parrinauz Comparing two methods for addressing uncertainty in risk assessments Journal of Environmental Engineering 125 7 1999 660 666 (Pubitemid 29437849)
    • (1999) Journal of Environmental Engineering , vol.125 , Issue.7 , pp. 660-666
    • Guyoanet, D.1    Come, B.2    Perrochet, P.3    Parriaux, A.4
  • 13
    • 0002391996 scopus 로고    scopus 로고
    • Similarity rules and gradual rules for analogical and interpolative reasoning with imprecise data
    • P. Hirota, and K. Subasic Similarity rules and gradual rules for analogical and interpolative reasoning with imprecise data Fuzzy Sets and Systems 96 1 1998 53 75
    • (1998) Fuzzy Sets and Systems , vol.96 , Issue.1 , pp. 53-75
    • Hirota, P.1    Subasic, K.2
  • 15
    • 33947429221 scopus 로고    scopus 로고
    • Risk tolerance measure for decision-making in fuzzy analysis: A health risk assessment perspective
    • E. Kentel, and M.M. Aral Risk tolerance measure for decision-making in fuzzy analysis: A health risk assessment perspective Stochastic Environmental Research and Risk Assessment 18 2007 405 407
    • (2007) Stochastic Environmental Research and Risk Assessment , vol.18 , pp. 405-407
    • Kentel, E.1    Aral, M.M.2
  • 18
    • 78650699599 scopus 로고    scopus 로고
    • Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory
    • H.C. Liu, L. Liu, Q.H. Bian, Q.L. Lin, N. Dong, and P.C. Xu Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory Expert Systems with Applications 38 2011 4403 4415
    • (2011) Expert Systems with Applications , vol.38 , pp. 4403-4415
    • Liu, H.C.1    Liu, L.2    Bian, Q.H.3    Lin, Q.L.4    Dong, N.5    Xu, P.C.6
  • 19
    • 84865045723 scopus 로고    scopus 로고
    • Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment
    • H.-C. Liu, L. Liu, N. Mao, and L.-X. Liu Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment Expert Systems with Applications 2012 12926 12934
    • (2012) Expert Systems with Applications , pp. 12926-12934
    • Liu, H.-C.1    Liu, L.2    Mao, N.3    Liu, L.-X.4
  • 20
    • 0036685786 scopus 로고    scopus 로고
    • Expected value of fuzzy variable and fuzzy expected value models
    • B. Liu, and L. Yian-Kui Expected value of fuzzy variable and fuzzy expected value models IEEE Transactions on Fuzzy Systems 10 2002
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10
    • Liu, B.1    Yian-Kui, L.2
  • 21
    • 0037226720 scopus 로고    scopus 로고
    • Modified failure mode and effects analysis using approximate reasoning
    • A. Pillay, and J. Wang Modified failure mode and effects analysis using approximate reasoning Reliability Engineering & System Safety 79 2003 69 85
    • (2003) Reliability Engineering & System Safety , vol.79 , pp. 69-85
    • Pillay, A.1    Wang, J.2
  • 24
    • 56349166784 scopus 로고    scopus 로고
    • Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean
    • Y.-M. Wang, K.-S. Chin, K. Poon Gary Ka, and J.-B. Yang Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean Expert Systems with Applications 36 2009 1195 1207
    • (2009) Expert Systems with Applications , vol.36 , pp. 1195-1207
    • Wang, Y.-M.1    Chin, K.-S.2    Poon Gary Ka, K.3    Yang, J.-B.4
  • 25
    • 43949169345 scopus 로고
    • On the issue of defuzzification and selection based on a fuzzy set
    • R.R. Yager, and D. Filev On the issue of defuzzification and selection based on a fuzzy set Fuzzy Sets and Systems 55 1993 255 271
    • (1993) Fuzzy Sets and Systems , vol.55 , pp. 255-271
    • Yager, R.R.1    Filev, D.2
  • 26
    • 51449113428 scopus 로고    scopus 로고
    • Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA
    • Z. Yang, S. Bonsall, and J. Wang Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA IEEE Transactions on Reliability 57 2008 517 528
    • (2008) IEEE Transactions on Reliability , vol.57 , pp. 517-528
    • Yang, Z.1    Bonsall, S.2    Wang, J.3
  • 28
    • 77956616005 scopus 로고    scopus 로고
    • Risk prioritization in failure mode and effects analysis under uncertainty
    • Z. Zhang, and X. Chu Risk prioritization in failure mode and effects analysis under uncertainty Expert Systems with Applications 2011 206 214
    • (2011) Expert Systems with Applications , pp. 206-214
    • Zhang, Z.1    Chu, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.