Risk prioritization based on the combination of FMEA and dual hesitant fuzzy sets method
Lucas Daniel Del Rosso Calache; Lucas Gabriel Zanon; Rafael Ferro Munhoz Arantes; Lauro Osiro; Luiz Cesar Ribeiro Carpinetti
Abdelgawad, M., & Fayek, A. R. (2010). Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP.
Akyuz, E., & Celik, E. (2018). A quantitative risk analysis by using interval type-2 fuzzy FMEA approach: the case of oil spill.
Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier’s risk.
Bahrebar, S., Blaabjerg, F., Wang, H., Vafamand, N., Khooban, M. H., Rastayesh, S., & Zhou, D. (2018). A novel type-2 fuzzy logic for improved risk analysis of proton exchange membrane fuel cells in marine power systems application.
Bonfant, G., Belfanti, P., Paternoster, G., Gabrielli, D., Gaiter, A. M., Manes, M., & Nebiolo, P. E. (2010). Clinical risk analysis with failure mode and effect analysis (FMEA) model in a dialysis unit.
Calache, L. D. D. R. (2018).
Calache, L. D. D. R., Arantes, R. F. M., Zanon, L. G., Osiro, L., & Carpinetti, L. C. R. (2021). A literature review of dual hesitant fuzzy sets.
Can, G. F. (2018). An intutionistic approach based on failure mode and effect analysis for prioritizing corrective and preventive strategies.
Chai, K. C., Jong, C. H., Tay, K. M., & Lim, C. P. (2016). A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming.
Chang, K. H. (2016). Generalized multi-attribute failure mode analysis.
Chang, K. H., Wen, T. C., & Chung, H. Y. (2018). Soft failure mode and effects analysis using the OWG operator and hesitant fuzzy linguistic term sets.
Chaudhuri, A., Mohanty, B. K., & Singh, K. N. (2013). Supply chain risk assessment during new product development: a group decision making approach using numeric and linguistic data.
Chen, P. S., & Wu, M. T. (2013). A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: a case study.
Chin, K. S., Chan, A., & Yang, J. B. (2008). Development of a fuzzy FMEA based product design system.
Chin, K. S., Wang, Y. M., Poon, G. K. K., & Yang, J. B. (2009). Failure mode and effects analysis using a group-based evidential reasoning approach.
Chiozza, M. L., & Ponzetti, C. (2009). FMEA: a model for reducing medical errors.
Chrysostom, S., & Dwivedi, R. K. (2013). A review on the methodologies used in failure modes and effects analysis (FMEA
Fattahi, R., & Khalilzadeh, M. (2018). Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment.
Fonseca, L. M. (2015). From Quality Gurus and TQM to ISO 9001: 2015: a review of several quality paths.
Fonseca, L., & Domingues, J. P. (2017). ISO 9001: 2015 edition-management, quality and value.
Foroozesh, N., Tavakkoli-Moghaddam, R., & Mousavi, S. M. (2018). Sustainable-supplier selection for manufacturing services: a failure mode and effects analysis model based on interval-valued fuzzy group decision-making.
Geramian, A., Mehregan, M. R., Garousi Mokhtarzadeh, N., & Hemmati, M. (2017). Fuzzy inference system application for failure analyzing in automobile industry.
Ghadge, A., Fang, X., Dani, S., & Antony, J. (2017). Supply chain risk assessment approach for process quality risks.
Guo, J. (2016). A risk assessment approach for failure mode and effects analysis based on intuitionistic fuzzy sets and evidence theory.
Hajiagha, S. H. R., Hashemi, S. S., Mohammadi, Y., & Zavadskas, E. K. (2016). Fuzzy belief structure based VIKOR method: an application for ranking delay causes of Tehran metro system by FMEA criteria.
He, B., & Yang, Y. (2018). Mitigating supply risk: an approach with quantity flexibility procurement.
Helvacioglu, S., & Ozen, E. (2014). Fuzzy based failure modes and effect analysis for yacht system design.
Hu, Y. P., You, X. Y., Wang, L., & Liu, H. C. (2019). An integrated approach for failure mode and effect analysis based on uncertain linguistic GRA–TOPSIS method.
Huang, J., Li, Z. S., & Liu, H. C. (2017). New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method.
Huang, Z., Jiang, W., & Tang, Y. (2018). A new method to evaluate risk in failure mode and effects analysis under fuzzy information.
International Electrotechnical Commission – IEC. (2009).
Jenab, K., & Dhillon, B. S. (2005). Group-based failure effects analysis.
Jiang, W., Xie, C., Zhuang, M., & Tang, Y. (2017). Failure mode and effects analysis based on a novel fuzzy evidential method.
Kabir, S., & Papadopoulos, Y. (2018). A review of applications of fuzzy sets to safety and reliability engineering.
Ko, W. C. (2013). Exploiting 2-tuple linguistic representational model for constructing HOQ-based failure modes and effects analysis.
Kumru, M., & Kumru, P. Y. (2013). Fuzzy FMEA application to improve purchasing process in a public hospital.
Li, Y. M. (2014). An approach to evaluate the clothing creative design with dual hesitant fuzzy information.
Li, X., He, M., & Wang, H. (2017). Application of failure mode and effect analysis in managing catheter-related blood stream infection in intensive care unit.
Lin, C. Y., Lee, A. H., & Kang, H. Y. (2015). An integrated new product development framework–an application on green and low-carbon products.
Liu, H. C., Liu, L., Liu, N., & Mao, L. X. (2012). Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment.
Liu, H. C., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: a literature review.
Liu, H. C., Fan, X. J., Li, P., & Chen, Y. Z. (2014a). Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment.
Liu, H. C., You, J. X., & You, X. Y. (2014b). Evaluating the risk of healthcare failure modes using interval 2-tuple hybrid weighted distance measure.
Liu, H. C., Liu, L., & Li, P. (2014c). Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator.
Liu, H. C., You, J. X., Shan, M. M., & Shao, L. N. (2015a). Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach.
Liu, H. C., You, J. X., You, X. Y., & Shan, M. M. (2015b). A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method.
Liu, H. C., Li, P., You, J. X., & Chen, Y. Z. (2015c). A novel approach for FMEA: combination of interval 2‐tuple linguistic variables and gray relational analysis.
Liu, H. C., Li, Z., Song, W., & Su, Q. (2017). Failure mode and effect analysis using cloud model theory and PROMETHEE method.
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.
Lorenzi, C. I., & Ferreira, J. C. E. (2018). Failure mapping using FMEA and A3 in engineering to order product development: a case study in the industrial automation sector.
Mirghafoori, S. H., Izadi, M. R., & Daei, A. (2018). Analysis of the barriers affecting the quality of electronic services of libraries by VIKOR, FMEA and entropy combined approach in an intuitionistic-fuzzy environment.
Ng, W. C., Teh, S. Y., Low, H. C., & Teoh, P. C. (2017). The integration of FMEA with other problem solving tools: a review of enhancement opportunities.
Nguyen, H. (2016). A new interval-valued knowledge measure for interval-valued intuitionistic fuzzy sets and application in decision making.
Rahmatin, N., Santoso, I., Indriani, C., Rahayu, S., & Widyaningtyas, S. (2018). Integration of the fuzzy failure mode and effect analysis (fuzzy FMEA) and the analytical network process (ANP) in marketing risk analysis and mitigation.
Rezaee, M. J., Yousefi, S., Valipour, M., & Dehdar, M. M. (2018). Risk analysis of sequential processes in food industry integrating multi-stage fuzzy cognitive map and process failure mode and effects analysis.
Sutrisno, A., Moo, H., Lee, T., & Hyon, J. (2013). Improvement strategy selection in FMEA: classification, review and new opportunity roadmaps.
Singh, P. (2017). Distance and similarity measures for multiple-attribute decision making with dual hesitant fuzzy sets.
Sitnikov, C., Bocean, C. G., Berceanu, D., & Pirvu, R. (2017). Risk management model from the perspective of implementing iso 9001: 2015 standard within financial services companies.
Song, W., Ming, X., Wu, Z., & Zhu, B. (2013). Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS.
Soyer, A., Asan, Ş. S., & Asan, U. (2016). Failure mode and effects analysis using hesitant fuzzy sets. In
Tooranloo, H. S. (2016). A model for failure mode and effects analysis based on intuitionistic fuzzy approach.
Tooranloo, H. S., Ayatollah, A. S., & Alboghobish, S. (2018). Evaluating knowledge management failure factors using intuitionistic fuzzy FMEA approach.
Torra, V. (2010). Hesitant fuzzy sets.
Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process (SCRMP).
Valinejad, F., & Rahmani, D. (2018). Sustainability risk management in the supply chain of telecommunication companies: a case study.
Wang, H., Zhao, X., & Wei, G. (2014). Dual hesitant fuzzy aggregation operators in multiple attribute decision making.
Wang, L. E., Liu, H. C., & Quan, M. Y. (2016). Evaluating the risk of failure modes with a hybrid MCDM model under interval-valued intuitionistic fuzzy environments.
Wang, W., Liu, X., Qin, Y., & Fu, Y. (2018). A risk evaluation and prioritization method for FMEA with prospect theory and Choquet integral.
Wu, T., Blackhurst, J., & Chidambaram, V. (2006). A model for inbound supply risk analysis.
Xu, K., Tang, L. C., Xie, M., Ho, S. L., & Zhu, M. L. (2002). Fuzzy assessment of FMEA for engine systems.
Yazdi, M., Daneshvar, S., & Setareh, H. (2017). An extension to Fuzzy Developed Failure Mode and Effects Analysis (FDFMEA) application for aircraft landing system.
Yu, D., Li, D. F., & Merigo, J. M. (2016). Dual hesitant fuzzy group decision making method and its application to supplier selection.
Zadeh, L. A. (1965). Fuzzy sets.
Zeng, W., Xi, Y., Yin, Q., & Guo, P. (2018, November). Weighted dual hesitant fuzzy sets and its application in group decision making. In
Zhang, H., Dong, Y., Palomares-Carrascosa, I., & Zhou, H. (2019). Failure mode and effect analysis in a linguistic context: a consensus-based multiattribute group decision-making approach.
Zhang, H., Shu, L., Liao, S., & Xiawu, C. (2017). Dual hesitant fuzzy rough set and its application.
Zhang, J., Hegde, G. G., Shang, J., & Qi, X. (2016). Evaluating emergency response solutions for sustainable community development by using fuzzy multi-criteria group decision making approaches: IVDHF-TOPSIS and IVDHF-VIKOR.
Zhang, Z., & Chu, X. (2011). Risk prioritization in failure mode and effects analysis under uncertainty.
Zhu, B., Xu, Z., & Xia, M. (2012). Dual hesitant fuzzy sets.
Zhu, J., Wang, R., & Li, Y. (2018). Failure mode and effects analysis considering consensus and preferences interdependence.
Zolfaghari, S., & Mousavi, S. M. (2018). Construction-project risk assessment by a new decision model based on De-Novo multi-approaches analysis and hesitant fuzzy sets under uncertainty.