A novel approach to emergency risk assessment using FMEA with extended MULTIMOORA method under interval-valued Pythagorean fuzzy environment
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Feng Li | Huimin Li | Qing Xia | Lunyan Wang | Lelin Lv | Huimin Li | Lunyan Wang | Qing Xia | Lelin Lv | Feng Li
[1] Hu-Chen Liu,et al. Improving Risk Evaluation in FMEA With Cloud Model and Hierarchical TOPSIS Method , 2019, IEEE Transactions on Fuzzy Systems.
[2] Yung-Chia Chang,et al. Integrating TOPSIS and DEMATEL Methods to Rank the Risk of Failure of FMEA , 2014, Int. J. Inf. Technol. Decis. Mak..
[3] Nune Ravi Sankar,et al. Modified approach for prioritization of failures in a system failure mode and effects analysis , 2001 .
[4] Ting-Yu Chen,et al. A novel risk evaluation method of technological innovation using an inferior ratio-based assignment model in the face of complex uncertainty , 2018, Expert Syst. Appl..
[5] Hu-Chen Liu,et al. Failure mode and effects analysis using D numbers and grey relational projection method , 2014, Expert Syst. Appl..
[6] Nan Liu,et al. Risk evaluation approaches in failure mode and effects analysis: A literature review , 2013, Expert Syst. Appl..
[7] Yong Deng,et al. Failure mode and effects analysis based on D numbers and TOPSIS , 2016, Qual. Reliab. Eng. Int..
[8] Hu-Chen Liu,et al. Failure mode and effect analysis using interval type-2 fuzzy sets and fuzzy Petri nets , 2019, J. Intell. Fuzzy Syst..
[9] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .
[10] Zhang-peng Tian,et al. An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods , 2018, Appl. Soft Comput..
[11] Hu-Chen Liu,et al. An integrated failure mode and effect analysis approach for accurate risk assessment under uncertainty , 2016 .
[12] Yucheng Dong,et al. Failure Mode and Effect Analysis in a Linguistic Context: A Consensus-Based Multiattribute Group Decision-Making Approach , 2019, IEEE Transactions on Reliability.
[13] Ronald R. Yager,et al. Pythagorean Membership Grades, Complex Numbers, and Decision Making , 2013, Int. J. Intell. Syst..
[14] PengXindong,et al. Fundamental Properties of Interval-Valued Pythagorean Fuzzy Aggregation Operators , 2016 .
[15] Qian Yu,et al. A Novel Method for Multiattribute Decision Making with Interval‐Valued Pythagorean Fuzzy Linguistic Information , 2017, Int. J. Intell. Syst..
[16] Gui-Wu Wei,et al. Pythagorean fuzzy power aggregation operators in multiple attribute decision making , 2018, Int. J. Intell. Syst..
[17] Xindong Peng,et al. New operations for interval-valued Pythagorean fuzzy set , 2018 .
[18] Ronald R. Yager,et al. Prioritized aggregation operators , 2008, Int. J. Approx. Reason..
[19] Evaluation of emergency risk management capability based on hesitant fuzzy Einstein operator , 2016, J. Intell. Fuzzy Syst..
[20] Ahmet Can Kutlu,et al. Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP , 2012, Expert Syst. Appl..
[21] S. Vinodh,et al. Fuzzy assessment of FMEA for rotary switches: a case study , 2012 .
[22] Peide Liu,et al. A grey relational projection method for multi-attribute decision making based on intuitionistic trapezoidal fuzzy number , 2013 .
[23] Lars Coenen,et al. The Role of Trials and Demonstration Projects in the Development of a Sustainable Bioeconomy , 2017 .
[24] Hu-Chen Liu,et al. A dynamic approach for emergency decision making based on prospect theory with interval-valued Pythagorean fuzzy linguistic variables , 2019, Comput. Ind. Eng..
[25] Edmundas Kazimieras Zavadskas,et al. Robustness of MULTIMOORA: A Method for Multi-Objective Optimization , 2012, Informatica.
[26] Jhareswar Maiti,et al. Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach , 2014, Expert Syst. Appl..
[27] Fu-Chiang Yang,et al. A Novel Approach for Evaluating the Risk of Health Care Failure Modes , 2012, Journal of Medical Systems.
[28] Edmundas Kazimieras Zavadskas,et al. The MOORA method and its application to privatization in a transition economy , 2006 .
[29] Xinyang Deng,et al. Fuzzy Risk Evaluation in Failure Mode and Effects Analysis Using a D Numbers Based Multi-Sensor Information Fusion Method , 2017, Sensors.
[30] Hossein Safari,et al. Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR , 2014, Journal of Intelligent Manufacturing.
[31] Zeshui Xu. A Deviation-Based Approach to Intuitionistic Fuzzy Multiple Attribute Group Decision Making , 2010 .
[32] Esra Kurt Tekez. FAILURE MODES AND EFFECTS ANALYSIS USING FUZZY TOPSIS IN KNITTING PROCESS , 2018 .
[33] Rita Gamberini,et al. FlowSort-GDSS - A novel group multi-criteria decision support system for sorting problems with application to FMEA , 2015, Expert Syst. Appl..
[34] Hu-Chen Liu,et al. Improving quality function deployment analysis with the cloud MULTIMOORA method , 2020, Int. Trans. Oper. Res..
[35] Xiaolu Zhang,et al. Multicriteria Pythagorean fuzzy decision analysis: A hierarchical QUALIFLEX approach with the closeness index-based ranking methods , 2016, Inf. Sci..
[36] Tongdan Jin,et al. MULTIPLE FAILURE MODES ANALYSIS AND WEIGHTED RISK PRIORITY NUMBER EVALUATION IN FMEA , 2011 .
[37] Willem K. Brauers,et al. Project Management for a Country with Multiple Objectives , 2012 .
[38] Behnam Vahdani,et al. A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process , 2014, The International Journal of Advanced Manufacturing Technology.
[39] Hu-Chen Liu,et al. Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment , 2014, Eng. Appl. Artif. Intell..
[40] Quan Chen,et al. A study on solving the production process problems of the photovoltaic cell industry , 2018 .
[41] Aminah Robinson Fayek,et al. Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP , 2010 .
[42] Xin Guo Ming,et al. A rough TOPSIS Approach for Failure Mode and Effects Analysis in Uncertain Environments , 2014, Qual. Reliab. Eng. Int..
[43] Xindong Peng,et al. Algorithms for Interval-Valued Pythagorean Fuzzy Sets in Emergency Decision Making Based on Multiparametric Similarity Measures and WDBA , 2019, IEEE Access.
[44] Hui Li,et al. Risk evaluation in failure mode and effects analysis using fuzzy digraph and matrix approach , 2014, Journal of Intelligent Manufacturing.
[45] Hu-Chen Liu,et al. A Novel Approach for FMEA: Combination of Interval 2‐Tuple Linguistic Variables and Gray Relational Analysis , 2015, Qual. Reliab. Eng. Int..
[46] E. Zavadskas,et al. Project management by multimoora as an instrument for transition economies , 2010 .
[47] Peter Fisker,et al. Small area estimation of child undernutrition in Ethiopian woredas , 2016, PloS one.
[48] J. B. Bowles,et al. Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis , 1995 .
[49] Ping Li,et al. Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator , 2014, Int. J. Syst. Sci..
[50] Francesco Zammori,et al. ANP/RPN: a multi criteria evaluation of the Risk Priority Number , 2012, Qual. Reliab. Eng. Int..
[51] Yong Deng,et al. A new failure mode and effects analysis model using Dempster-Shafer evidence theory and grey relational projection method , 2018, Eng. Appl. Artif. Intell..
[52] Hu-Chen Liu,et al. Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory , 2011, Expert Syst. Appl..
[53] Hu-Chen Liu,et al. Evaluating the risk of healthcare failure modes using interval 2-tuple hybrid weighted distance measure , 2014, Comput. Ind. Eng..