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Failure mode and effect analysis using MULTIMOORA method with continuous weighted entropy under interval-valued intuitionistic fuzzy environment

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Abstract

Failure mode and effect analysis (FMEA) is a prospective risk assessment tool used to identify, assess and eliminate potential failure modes in various industries to improve security and reliability. However, the conventional risk priority number (RPN) method has been widely criticized for the deficiencies in risk factor weights, calculation of RPN, evaluation of failure modes, etc. In this paper, we present a novel approach for FMEA based on interval-valued intuitionistic fuzzy sets (IVIFSs) and MULTIMOORA method to handle the uncertainty and vagueness from FMEA team members’ subjective assessments and to get a more accurate ranking of failure modes identified in FMEA. In this proposed model, interval-valued intuitionistic fuzzy (IVIF) continuous weighted entropy is applied for risk factor weighting and the IVIF-MULTIMOORA method is used to determine the risk priority order of failure modes. Finally, an illustrative case is provided to demonstrate the effectiveness and practicality of the proposed FMEA and a comparison analysis with other relevant methods is conducted to show its merits.

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References

  • Atanassov K, Gargov G (1989) Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst 31(3):343–349

    Article  MathSciNet  MATH  Google Scholar 

  • Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96

    Article  MathSciNet  MATH  Google Scholar 

  • Balezentiene L, Streimikiene D, Balezentis T (2013) Fuzzy decision support methodology for sustainable energy crop selection. Renew Sustain Energy Rev 17:83–93

    Article  Google Scholar 

  • Baležentis A, Baležentis T, Brauers WK (2012) Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Syst Appl 39(9):7961–7967

    Article  MATH  Google Scholar 

  • Baležentis T, Zeng S (2013) Group multi-criteria decision making based upon interval-valued fuzzy numbers: an extension of the MULTIMOORA method. Expert Syst Appl 40(2):543–550

    Article  Google Scholar 

  • Baležentis T, Baležentis A (2014) A survey on development and applications of the multi-criteria decision making method MULTIMOORA. J Multi Criteria Decis Anal 21(3–4):209–222

    Article  Google Scholar 

  • Baležentis T, Zeng S, Baležentis A (2014) MULTIMOORA-IFN: a MCDM method based on intuitionistic fuzzy number for performance management. Econ Comput Econ Cybern Stud Res 48(4):85–102

    Google Scholar 

  • Bowles JB, Peláez CE (1995) Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliab Eng Syst Saf 50(2):203–213

    Article  Google Scholar 

  • Brauers WKM, Zavadskas EK (2006) The MOORA method and its application to privatization in a transition economy. Control Cybern 35(2):445–469

    MathSciNet  MATH  Google Scholar 

  • Brauers WKM, Zavadskas EK (2010) Project management by MULTIMOORA as an instrument for transition economies. Technol Econ Dev Econ 16(1):5–24

    Article  Google Scholar 

  • Brauers WKM, Zavadskas EK (2011) MULTIMOORA optimization used to decide on a bank loan to buy property. Technol Econ Dev Econ 17(1):174–188

    Article  Google Scholar 

  • Brauers WKM, Kildienė S, Zavadskas EK, Kaklauskas A (2013) The construction sector in twenty European countries during the recession 2008–2009—country ranking by MULTIMOORA. Int J Strategic Prop Manag 17(1):58–78

    Article  Google Scholar 

  • Chang D, Chung J, Sun K, Yang F (2012) A novel approach for evaluating the risk of health care failure modes. J Med Syst 36(6):3967–3974

    Article  Google Scholar 

  • Debasis Das A, Goutam Kumar B, Dipankar B, Souren M (2014) Multi criteria FMECA for coal-fired thermal power plants using COPRAS-G. Int J Qual Reliab Manag 31(5):601–614

    Article  Google Scholar 

  • Du Y, Lu X, Su X, Hu Y, Deng Y (2016) New failure mode and effects analysis: An evidential downscaling method. Qual Reliab Eng Int 32:737–746

    Article  Google Scholar 

  • Franceschini F, Galetto M (2001) A new approach for evaluation of risk priorities of failure modes in FMEA. Int J Prod Res 39(13):2991–3002

    Article  Google Scholar 

  • Garg H (2016) A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems. Appl Soft Comput 38:988–999

    Article  Google Scholar 

  • Geum Y, Cho Y, Park Y (2011) A systematic approach for diagnosing service failure: Service-specific FMEA and grey relational analysis approach. Math Comput Model 54(11–12):3126–3142

    Article  MATH  Google Scholar 

  • Hajiagha SHR, Hashemi SS, Zavadskas EK (2013) A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment. Technol Econ Dev Econ 19(1):22–37

    Article  Google Scholar 

  • Helvacioglu S, Ozen E (2014) Fuzzy based failure modes and effect analysis for yacht system design. Ocean Eng 79:131–141

    Article  Google Scholar 

  • Jin F, Pei L, Chen H, Zhou L (2014) Interval-valued intuitionistic fuzzy continuous weighted entropy and its application to multi-criteria fuzzy group decision making. Knowl Based Syst 59:132–141

    Article  Google Scholar 

  • Kahraman C, Kaya İ, Şenvar Ö (2012) Healthcare failure mode and effects analysis under fuzziness. Human Ecol Risk Assess 19(2):538–552

    Article  Google Scholar 

  • Lazauskas M, Kutut V, Zavadskas EK (2015a) Multicriteria assessment of unfinishaed construction projects. Gradevinar 67(4):319–328

    Google Scholar 

  • Lazauskas M, Zavadskas EK, Šaparauskas J (2015b) Ranking of priorities among the baltic capital cities for the development of sustainable construction? Econ Manag Ekonomie a Manag 18(2):15–24

    Article  Google Scholar 

  • Liu B, Shen Y, Zhang W, Chen X, Wang X (2015d) An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making. Eur J Oper Res 245(1):209–225

    Article  MathSciNet  MATH  Google Scholar 

  • 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(17):12926–12934

    Article  Google Scholar 

  • Liu HC, Liu L, Liu N (2013a) Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Syst Appl 40(2):828–838

    Article  Google Scholar 

  • Liu HC, Liu L, Lin QL (2013b) Fuzzy failure mode and effects analysis using fuzzy evidential reasoning and belief rule-based methodology. IEEE Trans Reliab 62(1):23–36

    Article  Google Scholar 

  • Liu HC, Fan XJ, Li P, Chen YZ (2014a) Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment. Eng Appl Artif Intell 34:168–177

    Article  Google Scholar 

  • Liu HC, Li P, You JX, Chen YZ (2014b) A novel approach for FMEA: combination of interval 2-tuple linguistic variables and gray relational analysis. Qual Reliab Eng Int 31(5):761–772

    Article  Google Scholar 

  • Liu HC, You JX, Lu C, Shan MM (2014c) Application of interval 2-tuple linguistic MULTIMOORA method for health-care waste treatment technology evaluation and selection. Waste Manage 34(11):2355–2364

    Article  Google Scholar 

  • Liu HC, You JX, Shan MM, Shao LN (2015a) Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach. Soft Comput 19(4):1085–1098

    Article  Google Scholar 

  • Liu HC, You JX, Lin QL, Li H (2015b) Risk assessment in system FMEA combining fuzzy weighted average with fuzzy decision making trial and evaluation laboratory. Int J Comput Integr Manuf 28(7):701–714

    Article  Google Scholar 

  • Liu HC, You JX, Ding XF, Su Q (2015c) Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method. Int J Qual Reliab Manag 32(7):763–782

    Article  Google Scholar 

  • Liu HC, You JX, Lu C, Chen YZ (2015e) Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model. Renew Sustain Energy Rev 41:932–942

    Article  Google Scholar 

  • Long S, Geng S (2015) Decision framework of photovoltaic module selection under interval-valued intuitionistic fuzzy environment. Energy Convers Manag 106:1242–1250

    Article  Google Scholar 

  • Mandal S, Maiti J (2014) Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach. Expert Syst Appl 41(7):3527–3537

    Article  Google Scholar 

  • Mardani A, Jusoh A, Nor KMD, Khalifah Z, Zakwan N, Valipour A (2015a) Multiple criteria decision-making techniques and their applications—a review of the literat ure from 2000 to 2014. Econ Res Ekonomska Istraživanja 28(1):516–571

    Article  Google Scholar 

  • Mardani A, Jusoh A, Zavadskas EK (2015b) Fuzzy multiple criteria decision-making techniques and applications—two decades review from 1994 to 2014. Expert Syst Appl 42(8):4126–4148

  • Masri H (2014) Quantitative economics as a scientific approach to the solution of problems of a complex nature—in honor of Professor Willem Karel M. Brauers on the occasion of his 90th birthday. Technol Econ Dev Econ 20(3):590–600

    Article  Google Scholar 

  • Netto TA, Honorato HJ, Qassim RY (2013) Prioritization of failure risk in subsea flexible pipes via data envelopment analysis. Marine Struct 34:105–116

    Article  Google Scholar 

  • Onar SC, Oztaysi B, Otay İ, Kahraman C (2015) Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy 90:274–285

    Article  Google Scholar 

  • Safari H, Faraji Z, Majidian S (2014) Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR. J Intell Manuf. doi:10.1007/s10845-014-0880-0

  • Şahin R (2015) Fuzzy multicriteria decision making method based on the improved accuracy function for interval-valued intuitionistic fuzzy sets. Soft Comput. doi:10.1007/s00500-015-1657-x

  • Salmeron JL, Gutierrez E (2012) Fuzzy grey cognitive maps in reliability engineering. Appl Soft Comput 12(12):3818–3824

    Article  Google Scholar 

  • Selim H, Yunusoglu MG, Yilmaz Balaman Ş (2015) A dynamic maintenance planning framework based on fuzzy TOPSIS and FMEA: application in an international food company. Quality and Reliability Engineering International. doi:10.1002/qre.1791

  • Seyed-Hosseini SM, Safaei N, Asgharpour MJ (2006) Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique. Reliab Eng Syst Saf 91(8):872–881

    Article  Google Scholar 

  • Silva MM, de Gusmão APH, Poleto T, Silva LCe, Costa APCS, (2014) A multidimensional approach to information security risk management using FMEA and fuzzy theory. Int J Inf Manag 34(6):733–740

  • Stamatis DH (2003) Failure mode and effect analysis: FMEA from theory to execution. ASQ Quality Press, USA

  • Stankevičienė J, Čepulytė J (2014) Sustainable value creation: coherence of corporate social responsibility and performance of socially responsible investment funds. Econ Res Ekonomska Istraživanja 27(1):882–898

    Article  Google Scholar 

  • Streimikiene D, Balezentis T, Krisciukaitienė I, Balezentis A (2012) Prioritizing sustainable electricity production technologies: MCDM approach. Renew Sustain Energy Rev 16(5):3302–3311

    Article  Google Scholar 

  • Tay K, Jong C, Lim C (2015) A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry. Neural Comput Appl 26(3):551–560

    Article  Google Scholar 

  • Vahdani B, Salimi M, Charkhchian M (2014) A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process. Int J Adv Manuf Technol 77(1–4):357–368

    Google Scholar 

  • Vinodh S, Aravindraj S, Ravi Sathya N, Yogeshwaran N (2012) Fuzzy assessment of FMEA for rotary switches: a case study. TQM J 24(5):461–475

    Article  Google Scholar 

  • Wan SP, Dong JY (2015) Interval-valued intuitionistic fuzzy mathematical programming method for hybrid multi-criteria group decision making with interval-valued intuitionistic fuzzy truth degrees. Inf Fusion 26:49–65

    Article  Google Scholar 

  • Wang YM, Chin KS, Poon GKK, Yang JB (2009) Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Syst Appl 36(2):1195–1207

    Article  Google Scholar 

  • Wu J, Cao Q, Li H (2015) An approach for MADM problems with interval-valued intuitionistic fuzzy sets based on nonlinear functions. Technol Econ Dev Econ 21(1):28–47

    Article  Google Scholar 

  • Xu Z (2007) Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control Decis 22(2):215

    Google Scholar 

  • Xue YX, You JX, Lai XD, Liu HC (2016) An interval-valued intuitionistic fuzzy MABAC approach for material selection with incomplete weight information. Appl Soft Comput 38:703–713

    Article  Google Scholar 

  • Yager RR (1988) On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans Syst Man Cybern 18(1):183–190

    Article  MathSciNet  MATH  Google Scholar 

  • Yager RR (2004) OWA aggregation over a continuous interval argument with applications to decision making. IEEE Trans Syst Man Cybern Part B 34(5):1952–1963

    Article  Google Scholar 

  • Ye F (2010) An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for virtual enterprise partner selection. Expert Syst Appl 37(10):7050–7055

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353

    Article  MATH  Google Scholar 

  • Zavadskas EK, Turskis Z, Volvačiovas R, Kildiene S (2013) Multi-criteria assessment model of technologies. Stud Inf Control 22(4):248–258

    Google Scholar 

  • Zavadskas EK, Turskis Z, Kildienė S (2014a) State of art surveys of overviews on MCDM/MADM methods. Technol Econ Dev Econ 20(1):165–179

    Article  Google Scholar 

  • Zavadskas EK, Antucheviciene J, Hajiagha SHR, Hashemi SS (2014b) Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF). Appl Soft Comput 24:1013–1021

    Article  Google Scholar 

  • Zavadskas EK, Antucheviciene J, Hajiagha SHR, Hashemi SS (2015) The interval-valued intuitionistic fuzzy MULTIMOORA method for group decision making in engineering. Math Probl Eng:1–13 (article ID 560690). doi:10.1155/2015/560690

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Acknowledgments

The authors are very grateful to the editor and the anonymous reviewers for their constructive comments and suggestions that have led to an improved version of this paper. This work was supported by the National Natural Science Foundation of China (No. 71402090), the NSFC key program (No. 71432007) and the Project funded by China Postdoctoral Science Foundation (No. 2015T80456), the Program for Young of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (No. QD2015019), and the Chen Guang project supported by Shanghai Municipal Education Commission and Shanghai Education Development Foundation.

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Authors and Affiliations

  1. School of Economics and Management, Tongji University, Shanghai, 200092, China

    Hao Zhao & Jian-Xin You

  2. School of Management, Shanghai University, Shanghai, 200444, China

    Hu-Chen Liu

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  1. Hao Zhao
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  2. Jian-Xin You
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  3. Hu-Chen Liu
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Correspondence to Hu-Chen Liu.

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Communicated by V. Loia.

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Zhao, H., You, JX. & Liu, HC. Failure mode and effect analysis using MULTIMOORA method with continuous weighted entropy under interval-valued intuitionistic fuzzy environment. Soft Comput 21, 5355–5367 (2017). https://doi.org/10.1007/s00500-016-2118-x

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