A risk evaluation and prioritization method for FMEA with prospect theory and Choquet integral
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Yong Fu | Yong Qin | Xinwang Liu | Weizhong Wang | Xinwang Liu | Yong Qin | Weizhong Wang | Yong Fu
[1] Chen-Tung Chen,et al. A fuzzy approach to select the location of the distribution center , 2001, Fuzzy Sets Syst..
[2] Qingji Zhou,et al. Fuzzy and grey theories in failure mode and effect analysis for tanker equipment failure prediction , 2016 .
[3] Luis Martínez,et al. A group decision method based on prospect theory for emergency situations , 2017, Inf. Sci..
[4] Ching-Hsue Cheng,et al. A risk assessment methodology using intuitionistic fuzzy set in FMEA , 2010, Int. J. Syst. Sci..
[5] Renato A. Krohling,et al. Combining prospect theory and fuzzy numbers to multi-criteria decision making , 2012, Expert Syst. Appl..
[6] Yung-Chia Chang,et al. Enhancing FMEA assessment by integrating grey relational analysis and the decision making trial and evaluation laboratory approach , 2013 .
[7] A. Tversky,et al. Prospect theory: analysis of decision under risk , 1979 .
[8] Fang Liu,et al. Fire risk assessment for large-scale commercial buildings based on structure entropy weight method , 2017 .
[9] Hu-Chen Liu,et al. Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory , 2011, Expert Syst. Appl..
[10] 菅野 道夫,et al. Theory of fuzzy integrals and its applications , 1975 .
[11] Jian-Xin You,et al. Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making approach , 2019 .
[12] Chen-Tung Chen,et al. A fuzzy approach for supplier evaluation and selection in supply chain management , 2006 .
[13] Mohammad Reza Hairi Yazdi,et al. An Extension to Fuzzy Developed Failure Mode and Effects Analysis (FDFMEA) Application for Aircraft Landing System , 2017 .
[14] Witold Pedrycz,et al. Multi-attribute group decision making based on Choquet integral under interval-valued intuitionistic fuzzy environment , 2016, Int. J. Comput. Intell. Syst..
[15] Liang Wang,et al. A hesitant group emergency decision making method based on prospect theory , 2017 .
[16] Sanjay Kumar,et al. Interval-valued intuitionistic hesitant fuzzy Choquet integral based TOPSIS method for multi-criteria group decision making , 2016, Eur. J. Oper. Res..
[17] L. A. ZADEH,et al. The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..
[18] Yu-Jie Wang. Ranking triangle and trapezoidal fuzzy numbers based on the relative preference relation , 2015 .
[19] Wenyi Zeng,et al. Weighted triangular approximation of fuzzy numbers , 2007, Int. J. Approx. Reason..
[20] A. Tversky,et al. Advances in prospect theory: Cumulative representation of uncertainty , 1992 .
[21] Chee Peng Lim,et al. A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming , 2016, Appl. Soft Comput..
[22] Omidvar Mohsen,et al. An extended VIKOR method based on entropy measure for the failure modes risk assessment – A case study of the geothermal power plant (GPP) , 2017 .
[23] 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.
[24] Lotfi A. Zadeh,et al. The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..
[25] Wei Sun,et al. Risk assessment of hydropower stations through an integrated fuzzy entropy-weight multiple criteria decision making method: A case study of the Xiangxi River , 2015, Expert Syst. Appl..
[26] Reza Tavakkoli-Moghaddam,et al. A novel two-phase group decision making approach for construction project selection in a fuzzy environment , 2012 .
[27] Jamil Ahmad,et al. A group decision making framework based on fuzzy VIKOR approach for machine tool selection with linguistic information , 2016, Appl. Soft Comput..
[28] Hu-Chen Liu,et al. FMEA Using Uncertainty Theories and MCDM Methods , 2016 .
[29] Hu-Chen Liu,et al. Failure Mode and Effect Analysis using Soft Set Theory and COPRAS Method , 2017, Int. J. Comput. Intell. Syst..
[30] Zhaojun Li,et al. New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method , 2017, Reliab. Eng. Syst. Saf..
[31] A. Kaufmann,et al. Introduction to fuzzy arithmetic : theory and applications , 1986 .
[32] Witold Pedrycz,et al. An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment , 2015, Knowl. Based Syst..
[33] Hu-Chen Liu,et al. An integrated failure mode and effect analysis approach for accurate risk assessment under uncertainty , 2016 .
[34] Chunhe Xie,et al. Failure mode and effects analysis based on a novel fuzzy evidential method , 2017, Appl. Soft Comput..
[35] Hu-Chen Liu,et al. Evaluating the risk of failure modes with a hybrid MCDM model under interval-valued intuitionistic fuzzy environments , 2016, Comput. Ind. Eng..
[36] Ahmet Can Kutlu,et al. Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP , 2012, Expert Syst. Appl..
[37] Mohammad A. Khalilzadeh,et al. Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment , 2018, Safety Science.