Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean

Fuzzy sets

Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855 · see citing works

Fuzzy sets

Zadeh, L. A. (1996) · Cited by 46,960 · see citing works

Fuzzy Sets and Systems - Theory and Applications

Didier Dubois, A., & Prade, H. M. (1980) · Mathematics in Science and Engineering/Mathematics in science and engineering · doi:10.1016/s0076-5392(09)x6008-x · Cited by 6,418 · see citing works

Failure Mode and Effect Analysis: FMEA From Theory to Execution

Schneider, H., & Stamatis, D. H. (1996) · Technometrics · doi:10.1080/00401706.1996.10484424 · Cited by 1,497 · see citing works

A procedure for ordering fuzzy subsets of the unit interval

Yager, R. R. (1981) · Information Sciences · doi:10.1016/0020-0255(81)90017-7 · Cited by 1,447 · see citing works

Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis

Bowles, J. B., & Peláez, C. E. (1995) · Reliability Engineering & System Safety · doi:10.1016/0951-8320(95)00068-d · Cited by 687 · see citing works

Modified failure mode and effects analysis using approximate reasoning

Pillay, A., & Wang, J. (2003) · Reliability Engineering & System Safety · doi:10.1016/s0951-8320(02)00179-5 · Cited by 581 · see citing works

Fuzzy weighted averages and implementation of the extension principle

Dong, W., & Wong, F. S. (1987) · Fuzzy Sets and Systems · doi:10.1016/0165-0114(87)90163-1 · Cited by 554 · see citing works

Fuzzy data envelopment analysis (DEA): a possibility approach

Lertworasirikul, S., Fang, S., Joines, J. A., & Nuttle, H. L. W. (2003) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(02)00484-0 · Cited by 411 · see citing works

Fuzzy assessment of FMEA for engine systems

Xu, K., Tang, L. C., Xie, M., Ho, S. L., & Zhu, M. L. (2002) · Reliability Engineering & System Safety · doi:10.1016/s0951-8320(01)00101-6 · Cited by 380 · see citing works

Modified approach for prioritization of failures in a system failure mode and effects analysis

Sankar, N. R., & Prabhu, B. S. (2001) · International Journal of Quality & Reliability Management · doi:10.1108/02656710110383737 · Cited by 350 · see citing works

Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling

Sharma, R. K., Kumar, D., & Kumar, P. (2005) · International Journal of Quality & Reliability Management · doi:10.1108/02656710510625248 · Cited by 330 · see citing works

Fuzzy TOPSIS approach for failure mode, effects and criticality analysis

Braglia, M., Frosolini, M., & Montanari, R. (2003) · Quality and Reliability Engineering International · doi:10.1002/qre.528 · Cited by 315 · see citing works

Modelling Failure Modes and Effects Analysis

Gilchrist, W. G. (1993) · International Journal of Quality & Reliability Management · doi:10.1108/02656719310040105 · Cited by 278 · see citing works

Fuzzy FMEA with a guided rules reduction system for prioritization of failures

Tay, K. M., & Lim, C. P. (2006) · International Journal of Quality & Reliability Management · doi:10.1108/02656710610688202 · Cited by 240 · see citing works

An Assessment of RPN Prioritization in a Failure Modes Effects and Criticality Analysis

Bowles, J. (2004) · Journal of the IEST · doi:10.17764/jiet.47.1.y576m26127157313 · Cited by 215 · see citing works

Failure mode and effects analysis using fuzzy method and grey theory

Chang, C., Wei, C., & Lee, Y. (1999) · Kybernetes · doi:10.1108/03684929910300295 · Cited by 198 · see citing works

Development of a fuzzy FMEA based product design system

Chin, K., Chan, A. M. M., & Yang, J. (2007) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-006-0898-3 · Cited by 198 · see citing works

A revised failure mode and effects analysis model

Ben‐Daya, M., & Raouf, A. (1996) · International Journal of Quality & Reliability Management · doi:10.1108/02656719610108297 · Cited by 192 · see citing works

Fuzzy criticality assessment model for failure modes and effects analysis

Braglia, M., Frosolini, M., & Montanari, R. (2003) · International Journal of Quality & Reliability Management · doi:10.1108/02656710310468687 · Cited by 168 · see citing works

Failure mode and effects analysis using grey theory

Chang, C., Liu, P., & Wei, C. (2001) · Integrated Manufacturing Systems · doi:10.1108/09576060110391174 · Cited by 155 · see citing works

Fractional programming approach to fuzzy weighted average

Kao, C., & Liu, S.-T. (2001) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(99)00137-2 · Cited by 153 · see citing works

Fuzzy inference to risk assessment on nuclear engineering systems

Guimarães, A. C. F., & Lapa, C. M. F. (2005) · Applied Soft Computing · doi:10.1016/j.asoc.2005.06.002 · Cited by 152 · see citing works

A fuzzy data envelopment analysis approach for FMEA

Garcia, P. A. D. A., Schirru, R., & Melo, P. F. F. E. (2005) · Progress in Nuclear Energy · doi:10.1016/j.pnucene.2005.03.016 · Cited by 145 · see citing works

Fuzzy FMEA applied to PWR chemical and volume control system

Guimarães, A. C. F., & Lapa, C. M. F. (2004) · Progress in Nuclear Energy · doi:10.1016/s0149-1970(04)90010-8 · Cited by 92 · see citing works

Fuzzy weighted average: The linear programming approach via Charnes and Cooper's rule

Guh, Y.-Y., Hon, C.-C., & Lee, E. S. (2001) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(98)00333-9 · Cited by 88 · see citing works

On ranking fuzzy numbers using valuations

Yager, R. R., & Filev, D. (1999) · International Journal of Intelligent Systems · doi:10.1002/(sici)1098-111x(199912)14:12 · Cited by 78 · see citing works

Effects analysis fuzzy inference system in nuclear problems using approximate reasoning

Guimarães, A. C. F., & Lapa, C. M. F. (2003) · Annals of Nuclear Energy · doi:10.1016/s0306-4549(03)00173-7 · Cited by 73 · see citing works

Applied Soft Computing Technologies: The Challenge of Complexity

Abraham, A., Nickolay, B., Köppen, M., & Bernard De Baets, C. (2006) · Springer eBooks · doi:10.1007/3-540-31662-0 · Cited by 68 · see citing works

Hazard and operability study using approximate reasoning in light-water reactors passive systems

Guimarães, A. C. F., & Lapa, C. M. F. (2006) · Nuclear Engineering and Design · doi:10.1016/j.nucengdes.2005.11.007 · Cited by 44 · see citing works

Parallel and multistage fuzzy inference based on families of α-level sets

Uehara, K., & Hirota, K. (1998) · Information Sciences · doi:10.1016/s0020-0255(97)10002-0 · Cited by 27 · see citing works

Risk evaluation approaches in failure mode and effects analysis: A literature review

Liu, H., Liu, L., & Liu, N. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.08.010 · Cited by 1,031 · see citing works

Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP

Kutlu, A. C., & Ekmekçioğlu, M. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.06.044 · Cited by 602 · see citing works

Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment

Liu, H., Liu, L., Liu, N., & Mao, L. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.05.031 · Cited by 386 · see citing works

A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method

Liu, H., You, J., You, X., & Shan, M. (2014) · Applied Soft Computing · doi:10.1016/j.asoc.2014.11.036 · Cited by 379 · see citing works

Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment

Fattahi, R., & Khalilzadeh, M. (2017) · Safety Science · doi:10.1016/j.ssci.2017.10.018 · Cited by 367 · see citing works

Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner

Peeters, J. F. W., Basten, R., & Tinga, T. (2017) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2017.11.024 · Cited by 303 · see citing works

Failure mode and effect analysis improvement: A systematic literature review and future research agenda

Huang, J., You, J., Liu, H., & Song, M. (2020) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2020.106885 · Cited by 296 · see citing works

Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review

Liu, H., Chen, X.-Q., Duan, C.-Y., & Wang, Y. (2019) · Computers & Industrial Engineering · doi:10.1016/j.cie.2019.06.055 · Cited by 273 · see citing works

Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory

Liu, H., Liu, L., Bian, Q.-H., Lin, Q.-L., Dong, N., & Xu, P. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.09.110 · Cited by 272 · see citing works

A review of applications of fuzzy sets to safety and reliability engineering

Kabir, S., & Papadopoulos, Y. I. (2018) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2018.05.005 · Cited by 246 · see citing works

Failure mode and effects analysis using D numbers and grey relational projection method

Liu, H., You, J., Fan, X., & Lin, Q. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.01.031 · Cited by 231 · see citing works

A rough TOPSIS Approach for Failure Mode and Effects Analysis in Uncertain Environments

Song, W., Ming, X., Wu, Z., & Zhu, B. (2013) · Quality and Reliability Engineering International · doi:10.1002/qre.1500 · Cited by 228 · see citing works

Criticality Assessment Models for Failure Mode Effects and Criticality Analysis Using Fuzzy Logic

Gargama, H., & Chaturvedi, S. K. (2011) · IEEE Transactions on Reliability · doi:10.1109/tr.2010.2103672 · Cited by 222 · see citing works

Failure mode and effects analysis by data envelopment analysis

Chin, K., Wang, Y., Poon, G. K. K., & Yang, J. (2009) · Decision Support Systems · doi:10.1016/j.dss.2009.08.005 · Cited by 219 · see citing works

Risk evaluation in failure mode and effects analysis of aircraft turbine rotor blades using Dempster–Shafer evidence theory under uncertainty

Yang, J., Huang, H.-Z., He, L.-P., Zhu, S., & Wen, D. (2011) · Engineering Failure Analysis · doi:10.1016/j.engfailanal.2011.06.014 · Cited by 214 · see citing works

An extended VIKOR method based on entropy measure for the failure modes risk assessment – A case study of the geothermal power plant (GPP)

Omidvar, M., & Nirumand, F. (2016) · Safety Science · doi:10.1016/j.ssci.2016.10.006 · Cited by 214 · see citing works

Fuzzy FMEA application to improve purchasing process in a public hospital

Kumru, M., & Kumru, P. Y. (2013) · Applied Soft Computing · doi:10.1016/j.asoc.2012.08.007 · Cited by 207 · see citing works

Fuzzy FMEA application to improve decision-making process in an emergency department

Chanamool, N., & Naenna, T. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2016.01.007 · Cited by 204 · see citing works

Failure mode and effects analysis based on a novel fuzzy evidential method

Jiang, W. R., Xie, C., Zhuang, M., & Tang, Y. (2017) · Applied Soft Computing · doi:10.1016/j.asoc.2017.04.008 · Cited by 200 · see citing works

Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method

Qin, J., Xi, Y., & Witold Pedrycz, C. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106134 · Cited by 198 · see citing works

An extension to Fuzzy Developed Failure Mode and Effects Analysis (FDFMEA) application for aircraft landing system

Yazdi, M., Daneshvar, S., & Setareh, H. (2017) · Safety Science · doi:10.1016/j.ssci.2017.06.009 · Cited by 192 · see citing works

Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR

Safari, H., Faraji, Z., & Majidian, S. (2014) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-014-0880-0 · Cited by 189 · see citing works

Fuzzy and grey theories in failure mode and effect analysis for tanker equipment failure prediction

Zhou, Q., & Vinh Van, T. H. A. I. (2015) · Safety Science · doi:10.1016/j.ssci.2015.11.013 · Cited by 188 · see citing works

Risk prioritization in failure mode and effects analysis under uncertainty

Zhang, Z., & Chu, X. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.06.046 · Cited by 187 · see citing works

Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment

Liu, H., Fan, X., Li, P., & Chen, Y.-Z. (2014) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2014.04.011 · Cited by 186 · see citing works

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

Zhao, H. Y., You, J., & Liu, H. (2016) · Soft Computing · doi:10.1007/s00500-016-2118-x · Cited by 186 · see citing works

Failure mode and effects analysis based on D numbers and TOPSIS

Bian, T., Zheng, H., Yin, L., & Deng, Y. (2018) · Quality and Reliability Engineering International · doi:10.1002/qre.2268 · Cited by 184 · see citing works

Fuzzy Failure Mode and Effects Analysis Using Fuzzy Evidential Reasoning and Belief Rule-Based Methodology

Liu, H., Liu, L., & Lin, Q. (2013) · IEEE Transactions on Reliability · doi:10.1109/tr.2013.2241251 · Cited by 179 · see citing works

Expert oriented approach for analyzing the blockchain adoption barriers in humanitarian supply chain

Sahebi, I. G., Masoomi, B., & Ghorbani, S. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101427 · Cited by 179 · see citing works

A risk assessment methodology using intuitionistic fuzzy set in FMEA

Chang, K., & Cheng, C. (2010) · International Journal of Systems Science · doi:10.1080/00207720903353633 · Cited by 168 · see citing works

Classical and fuzzy FMEA risk analysis in a sterilization unit

Dağsuyu, C., Göçmen, E., Narlı, M., & Kokangül, A. (2016) · Computers & Industrial Engineering · doi:10.1016/j.cie.2016.09.015 · Cited by 163 · see citing works

A fuzzy and Bayesian network CREAM model for human reliability analysis – The case of tanker shipping

Zhou, Q., Wong, Y. D., Loh, H. S., & Yuen, K. F. (2018) · Safety Science · doi:10.1016/j.ssci.2018.02.011 · Cited by 162 · see citing works

A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process

Vahdani, B., Salimi, M., & Charkhchian, M. (2014) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-014-6466-3 · Cited by 161 · see citing works

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

Mandal, S., & Maiti, J. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.10.058 · Cited by 160 · see citing works

Sustainable recycling partner selection using fuzzy DEMATEL-AEW-FVIKOR: A case study in small-and-medium enterprises (SMEs)

Zhou, F., Wang, X., Lim, M. K., He, Y., & Li, L. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.05.247 · Cited by 160 · see citing works

Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach

Liu, H., You, J., Shan, M., & Shao, L. (2014) · Soft Computing · doi:10.1007/s00500-014-1321-x · Cited by 156 · see citing works

A Dempster-Shafer Theory-based approach to the Failure Mode, Effects and Criticality Analysis (FMECA) under epistemic uncertainty: application to the propulsion system of a fishing vessel

Certa, A., Hopps, F., Inghilleri, R., & Fata, C. M. L. (2016) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2016.10.018 · Cited by 155 · see citing works

A Novel Approach for FMEA: Combination of Interval 2-Tuple Linguistic Variables and Gray Relational Analysis

Liu, H., Li, P., You, J., & Chen, Y.-Z. (2014) · Quality and Reliability Engineering International · doi:10.1002/qre.1633 · Cited by 151 · see citing works

Ranking of geological risks in mechanized tunneling by using Fuzzy Analytical Hierarchy Process (FAHP)

Nezarat, H., Sereshki, F., & Ataei, M. (2015) · Tunnelling and Underground Space Technology · doi:10.1016/j.tust.2015.07.019 · Cited by 143 · see citing works

A comprehensive fuzzy risk-based maintenance framework for prioritization of medical devices

Jamshidi, A., Rahimi, S. A., Aı̈t-Kadi, D., & Ruiz, A. B. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2015.03.054 · Cited by 137 · see citing works

Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator

Liu, H., Liu, L., & Li, P. (2013) · International Journal of Systems Science · doi:10.1080/00207721.2012.760669 · Cited by 136 · see citing works

Risk evaluation in failure modes and effects analysis: hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information

Akram, M., Luqman, A., & Alcantud, J. C. R. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-05350-3 · Cited by 135 · see citing works

An improved method for risk evaluation in failure modes and effects analysis of aircraft engine rotor blades

Su, X., Deng, Y., Mahadevan, S., & Bao, Q. (2012) · Engineering Failure Analysis · doi:10.1016/j.engfailanal.2012.07.009 · Cited by 129 · see citing works

ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number

Certa, A., Enea, M., Galante, G. M., & Fata, C. M. L. (2017) · Computers & Industrial Engineering · doi:10.1016/j.cie.2017.04.018 · Cited by 129 · see citing works

Risk evaluation of tunneling projects

Fouladgar, M. M., Yazdani–Chamzini, A., & Zavadskas, E. K. (2012) · Archives of Civil and Mechanical Engineering · doi:10.1016/j.acme.2012.03.008 · Cited by 128 · see citing works

Human reliability assessment for medical devices based on failure mode and effects analysis and fuzzy linguistic theory

Lin, Q., Wang, D.-J., Lin, W., & Liu, H. (2013) · Safety Science · doi:10.1016/j.ssci.2013.08.022 · Cited by 127 · see citing works

FlowSort-GDSS – A novel group multi-criteria decision support system for sorting problems with application to FMEA

Lolli, F., Ishizaka, A., Gamberini, R., Rimini, B., & Messori, M. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.04.028 · Cited by 127 · see citing works

Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)

Zandi, P., Rahmani, A. M., Khanian, M., & Mosavi, A. H. (2020) · Agriculture · doi:10.3390/agriculture10110504 · Cited by 125 · see citing works

Risk assessment in system FMEA combining fuzzy weighted average with fuzzy decision-making trial and evaluation laboratory

Liu, H., You, J., Lin, Q., & Li, H. (2014) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2014.900865 · Cited by 122 · see citing works

Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS

Song, W., Ming, X., Wu, Z., & Zhu, B. (2013) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2013.785027 · Cited by 121 · see citing works

Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method

Liu, H., You, J., Ding, X., & Su, Q. (2015) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-10-2013-0169 · Cited by 120 · see citing works

Risk prioritization in Failure Mode and Effects Analysis using interval type-2 fuzzy sets

Bozdag, E., Asan, U., Soyer, A., & Serdarasan, Ş. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.01.015 · Cited by 119 · see citing works

Decision Making Methods Based on Fuzzy Aggregation Operators: Three Decades Review from 1986 to 2017

Mardani, A., Nilashi, M., Zavadskas, E. K., Awang, S. R., Zare, H., & Jamal, N. M. (2018) · International Journal of Information Technology & Decision Making · doi:10.1142/s021962201830001x · Cited by 118 · see citing works

Risk analysis for occupational safety and health in the textile industry: Integration of FMEA, FTA, and BIFPET methods

Mutlu, N. G., & Altuntaş, S. (2019) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2019.05.013 · Cited by 117 · see citing works

Evaluate the orderings of risk for failure problems using a more general RPN methodology

Chang, K. (2009) · Microelectronics Reliability · doi:10.1016/j.microrel.2009.07.057 · Cited by 117 · see citing works

FMEA Using Uncertainty Theories and MCDM Methods

Liu, H. (2016) · Springer eBooks · doi:10.1007/978-981-10-1466-6_2 · Cited by 116 · see citing works

Fuzzy FMECA (failure mode effect and criticality analysis) of LNG storage facility

Renjith, V. R., kalathil, M. J., Kumar, P. H., & Madhavan, D. (2018) · Journal of Loss Prevention in the Process Industries · doi:10.1016/j.jlp.2018.01.002 · Cited by 114 · see citing works

General model for the risk priority number in failure mode and effects analysis

Kim, K. O., & Zuo, M. J. (2017) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2017.09.010 · Cited by 113 · see citing works

FIOWHM operator and its application to multiple attribute group decision making

Wei, G. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.08.087 · Cited by 112 · see citing works

A modified FMEA approach to enhance reliability of lean systems

Sawhney, R. S., Subburaman, K., Sonntag, C., Rao, P. V., & Capizzi, C. J. (2010) · International Journal of Quality & Reliability Management · doi:10.1108/02656711011062417 · Cited by 110 · see citing works

A model for failure mode and effects analysis based on intuitionistic fuzzy approach

Tooranloo‬, ‪. S., & Ayatollah, A. S. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2016.07.047 · Cited by 108 · see citing works

Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach

Wang, Z., Gao, J., Wang, R., Chen, K., Gao, Z.-Y., & Wei, Z. (2017) · IEEE Transactions on Reliability · doi:10.1109/tr.2017.2778316 · Cited by 107 · see citing works

Evaluating the risk of healthcare failure modes using interval 2-tuple hybrid weighted distance measure

Liu, H., You, J., & You, X. (2014) · Computers & Industrial Engineering · doi:10.1016/j.cie.2014.07.018 · Cited by 105 · see citing works

Risk analysis of sequential processes in food industry integrating multi-stage fuzzy cognitive map and process failure mode and effects analysis

Rezaee, M. J., Yousefı, S., Valipour, M., & Dehdar, M. M. (2018) · Computers & Industrial Engineering · doi:10.1016/j.cie.2018.07.012 · Cited by 101 · see citing works

An integrated SWARA-CODAS decision-making algorithm with spherical fuzzy information for clean energy barriers evaluation

Ghoushchi, S. J., Garg, H., Bonab, S. R., & Rahimi, A. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.119884 · Cited by 97 · see citing works

A research on subway physical vulnerability based on network theory and FMECA

Deng, Y., Li, Q., & Lu, Y. J. (2015) · Safety Science · doi:10.1016/j.ssci.2015.07.019 · Cited by 94 · see citing works

Risk evaluation in failure mode and effects analysis using fuzzy digraph and matrix approach

Liu, H., Chen, Y.-Z., You, J., & Li, H. (2014) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-014-0915-6 · Cited by 91 · see citing works

An improved failure mode and effects analysis method based on uncertainty measure in the evidence theory

Wu, D., & Tang, Y. (2020) · Quality and Reliability Engineering International · doi:10.1002/qre.2660 · Cited by 91 · see citing works

An improved fuzzy risk analysis based on a new similarity measures of generalized fuzzy numbers

Hejazi, S. R., Doostparast, A., & Hosseini, S. M. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.01.101 · Cited by 90 · see citing works

Digraph and matrix approach for risk evaluations under Pythagorean fuzzy information

Luqman, A., Akram, M., & Alcantud, J. C. R. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114518 · Cited by 89 · see citing works

Multi-attribute decision-making method for prioritizing maritime traffic safety influencing factors of autonomous ships’ maneuvering decisions using grey and fuzzy theories

Xue, J., van Gelder, P. H. A. J. M., Reniers, G., Papadimitriou, E., & Wu, C. (2019) · Safety Science · doi:10.1016/j.ssci.2019.07.019 · Cited by 88 · see citing works

Optimal selection of sustainable battery supplier for battery swapping station based on Triangular fuzzy entropy -MULTIMOORA method

Wang, R., Li, X., & Li, C. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.102013 · Cited by 83 · see citing works

Applying the concept of exponential approach to enhance the assessment capability of FMEA

Chang, K.-H., Chang, Y.-C., & Lai, P.-T. (2014) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-013-0747-9 · Cited by 81 · see citing works

Decision-making on the selection of lean tools using fuzzy QFD and FMEA approach in the manufacturing industry

Reda, H., & Dvivedi, A. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.116416 · Cited by 81 · see citing works

Fuzzy FMEA model for risk evaluation of ship collisions in the Malacca Strait: based on AIS data

Zaman, M. B., Kobayashi, E., Wakabayashi, N., Khanfir, S., Pitana, T., & Maimun, A. (2013) · Journal of Simulation · doi:10.1057/jos.2013.9 · Cited by 81 · see citing works

Fuzzy based failure modes and effect analysis for yacht system design

Helvacıoğlu, Ş., & Özen, E. (2014) · Ocean Engineering · doi:10.1016/j.oceaneng.2013.12.015 · Cited by 80 · see citing works

Safety of Workers in Indian Mines: Study, Analysis, and Prediction

Verma, S., & Chaudhari, S. (2017) · Safety and Health at Work · doi:10.1016/j.shaw.2017.01.001 · Cited by 79 · see citing works

Analyzing the barriers to humanitarian supply chain management: A case study of the Tehran Red Crescent Societies

Sahebi, I. G., Arab, A., & Moghadam, M. R. S. (2017) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2017.05.017 · Cited by 79 · see citing works

Z-number integrated weighted VIKOR technique for hazard prioritization and its application in virtual prototype based EOT crane operations

Das, S., Dhalmahapatra, K., & Maiti, J. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106419 · Cited by 79 · see citing works

An integrated approach for failure mode and effect analysis based on uncertain linguistic GRA–TOPSIS method

Hu, Y., You, X., Wang, L., & Liu, H. (2018) · Soft Computing · doi:10.1007/s00500-018-3480-7 · Cited by 78 · see citing works

Emergency management evaluation by a fuzzy multi-criteria group decision support system

Zhang, G., Ma, J., & Lü, J. (2008) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-008-0237-3 · Cited by 78 · see citing works

New Failure Mode and Effects Analysis: An Evidential Downscaling Method

Du, Y., Lu, X., Su, X., Hu, Y. Q., & Deng, Y. (2014) · Quality and Reliability Engineering International · doi:10.1002/qre.1753 · Cited by 76 · see citing works

Fuzzy integrated QFD, FMEA framework for the selection of lean tools in a manufacturing organisation

Kumar, M. B., & Parameshwaran, R. (2018) · Production Planning & Control · doi:10.1080/09537287.2018.1434253 · Cited by 76 · see citing works

Computing with Words in Risk Assessment

Liu, J., Martínez, L. M., Wang, H., Rodríguez, R. M., & Novozhilov, V. (2010) · International Journal of Computational Intelligence Systems · doi:10.1080/18756891.2010.9727710 · Cited by 73 · see citing works

Multiple perspectives on analyzing risk factors in FMEA

Ouyang, L., Che, Y., Yan, L., & Park, C. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103712 · Cited by 72 · see citing works

An efficient fuzzy weighted average algorithm for the military UAV selecting under group decision-making

Lin, K.-P., & Hung, K.-C. (2011) · Knowledge-Based Systems · doi:10.1016/j.knosys.2011.04.002 · Cited by 72 · see citing works

Improvement of risk assessment in the FMEA using nonlinear model, revised fuzzy TOPSIS, and support vector machine

Mangeli, M., Shahraki, A., & Saljooghi, F. H. (2018) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2018.11.004 · Cited by 71 · see citing works

Benchmarking the risk assessment in green supply chain using fuzzy approach to FMEA

Mangla, S. K., Luthra, S., & Jakhar, S. K. (2018) · Benchmarking An International Journal · doi:10.1108/bij-04-2017-0074 · Cited by 71 · see citing works

Fuzzy arithmetic based reliability allocation approach during early design and development

Sriramdas, V., Chaturvedi, S. K., & Gargama, H. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.10.048 · Cited by 70 · see citing works

A fuzzy failure mode and effects approach to analyse concentrated inspection campaigns on board ships

Akyüz, E., Akgün, İ., & Çelik, M. (2016) · Maritime Policy & Management · doi:10.1080/03088839.2016.1173737 · Cited by 70 · see citing works

A revised FMEA application to the quality control management

Paciarotti, C., Mazzuto, G., & D’Ettorre, D. (2014) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-02-2013-0028 · Cited by 68 · see citing works

A Hybrid MCDM Approach Based on Fuzzy ANP and Fuzzy TOPSIS for Technology Selection

Nouri, F. A., Esbouei, S. K., & Antuchevičienė, J. (2015) · Informatica · doi:10.15388/informatica.2015.53 · Cited by 68 · see citing works

A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis

Jee, T. L., Tay, K. M., & Lim, C. P. (2015) · IEEE Transactions on Reliability · doi:10.1109/tr.2015.2420300 · Cited by 66 · see citing works

Fuzzy Grey Cognitive Maps in reliability engineering

wrong, A. I., & Gutiérrez, E. (2012) · Applied Soft Computing · doi:10.1016/j.asoc.2012.02.003 · Cited by 66 · see citing works

A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming

Chai, K. C., Jong, C. H., Tay, K. M., & Lim, C. P. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2016.08.043 · Cited by 66 · see citing works

The contribution of risk management in ship management: The case of ship collision

Karahalios, H. (2013) · Safety Science · doi:10.1016/j.ssci.2013.11.004 · Cited by 65 · see citing works

Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making approach

Liu, H., You, J., Shan, M., & Su, Q. (2017) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2017.1317585 · Cited by 65 · see citing works

A Critical Comparison of Alternative Risk Priority Numbers in Failure Modes, Effects, and Criticality Analysis

Ciani, L., Guidi, G., & Patrizi, G. (2019) · IEEE Access · doi:10.1109/access.2019.2928120 · Cited by 65 · see citing works

Evaluation of risks in foodgrains supply chain using failure mode effect analysis and fuzzy VIKOR

Rathore, R., Thakkar, J. J., & Jha, J. K. (2020) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-02-2019-0070 · Cited by 64 · see citing works

A New Approach For Prioritization Of Failure Modes In Design Fmea Using Anova

Narayanagounder, S., & Gurusami, K. (2009) · doi:10.5281/zenodo.1332907 · Cited by 63 · see citing works

A fuzzy linear programming model for risk evaluation in failure mode and effects analysis

Hadi‐Vencheh, A., Hejazi, S., & Eslaminasab, Z. (2012) · Neural Computing and Applications · doi:10.1007/s00521-012-0874-9 · Cited by 17 · see citing works

Risk prioritization in failure mode and effects analysis under uncertainty

Zhang, Z., & Chu, X. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.06.046 · Cited by 187 · see citing works

Risk Priority Analysis for Engine Based on Fuzzy Weighted Geometric Mean

Gu, Y. K., Luo, X. C., & Tang, S. Y. (2012) · Advanced materials research · doi:10.4028/www.scientific.net/amr.463-464.1160 · Cited by 2 · see citing works

Risk Evaluation in Failure Mode and Effects Analysis Using Fuzzy Measure and Fuzzy Integral

Liu, H., Deng, X., & Jiang, W. R. (2017) · Symmetry · doi:10.3390/sym9080162 · Cited by 59 · see citing works

Fuzzy criticality assessment of FMECA for the SADA based on modified FWGM algorithm & centroid deffuzzification

Gan, L., Pang, Y. T., Liao, Q., Xiao, N., & Huang, H. (2011) · International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering · doi:10.1109/icqr2mse.2011.5976595 · Cited by 7 · see citing works