A modified failure modes and effects analysis using interval-valued spherical fuzzy extension of TOPSIS method: case study in a marble manufacturing facility

[1]  Cengiz Kahraman,et al.  Extension of WASPAS with Spherical Fuzzy Sets , 2019, Informatica.

[2]  Harish Garg,et al.  Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment , 2020, International journal of environmental research and public health.

[3]  Fang Yan,et al.  FMEA-CM based quantitative risk assessment for process industries—A case study of coal-to-methanol plant in China , 2021 .

[4]  Enrique Herrera-Viedma,et al.  Developing the modified R-numbers for risk-based fuzzy information fusion and its application to failure modes, effects, and system resilience analysis (FMESRA). , 2020, ISA transactions.

[5]  Muhammet Gul,et al.  Failure prioritization and control using the neutrosophic best and worst method , 2021, Granular Computing.

[6]  James J. H. Liou,et al.  A novel multiple-criteria decision-making-based FMEA model for risk assessment , 2018, Appl. Soft Comput..

[7]  Gwo-Hshiung Tzeng,et al.  A hybrid MCDM-based FMEA model for identification of critical failure modes in manufacturing , 2020, Soft Computing.

[8]  Cengiz Kahraman,et al.  A novel spherical fuzzy analytic hierarchy process and its renewable energy application , 2020, Soft Comput..

[9]  Hossein Safari,et al.  Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR , 2014, Journal of Intelligent Manufacturing.

[10]  Muhammet Gul,et al.  Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA , 2020, Stochastic Environmental Research and Risk Assessment.

[11]  Nan Liu,et al.  Risk evaluation approaches in failure mode and effects analysis: A literature review , 2013, Expert Syst. Appl..

[12]  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..

[13]  Bayram Kahraman,et al.  Integration of risk matrix and event tree analysis: a natural stone plant case , 2017 .

[14]  A. Teixeira,et al.  Pitch and Loudness from Tinnitus in Individuals with Noise-induced Hearing Loss , 2015, International Archives of Otorhinolaryngology.

[15]  U. K. Mandal,et al.  Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model , 2020 .

[16]  Jing Li,et al.  Modified failure mode and effects analysis under uncertainty: A rough cloud theory-based approach , 2019, Appl. Soft Comput..

[17]  Erkan Celik,et al.  A quantitative risk analysis by using interval type-2 fuzzy FMEA approach: the case of oil spill , 2018, Maritime Policy & Management.

[18]  Cengiz Kahraman,et al.  Novel similarity measures in spherical fuzzy environment and their applications , 2020, Engineering Applications of Artificial Intelligence.

[19]  Antonella Petrillo,et al.  Total efficient risk priority number (TERPN): a new method for risk assessment , 2018 .

[20]  Erkan Celik,et al.  Assessment of occupational hazards and associated risks in fuzzy environment: A case study of a university chemical laboratory , 2017 .

[21]  Metin Ersoy,et al.  A Proposal on Occupational Accident Risk Analysis: A Case Study of a Marble Factory , 2015 .

[22]  Neelu Khare,et al.  An Efficient System for Heart Disease Prediction Using Hybrid OFBAT with Rule-Based Fuzzy Logic Model , 2017, J. Circuits Syst. Comput..

[23]  Ahmet Can Kutlu,et al.  Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP , 2012, Expert Syst. Appl..

[24]  Cengiz Kahraman,et al.  A novel spherical fuzzy QFD method and its application to the linear delta robot technology development , 2020, Eng. Appl. Artif. Intell..

[25]  Jindong Qin,et al.  Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method , 2020, Appl. Soft Comput..

[26]  Hu-Chen Liu,et al.  Failure mode and effect analysis using MULTIMOORA method with continuous weighted entropy under interval-valued intuitionistic fuzzy environment , 2016, Soft Computing.

[27]  Jian Guo,et al.  Failure modes and effects analysis for CO2 transmission pipelines using a hesitant fuzzy VIKOR method , 2018, Soft Comput..

[28]  Muhammet Gul,et al.  A manufacturing failure mode and effect analysis based on fuzzy and probabilistic risk analysis , 2020, Appl. Soft Comput..

[29]  Cengiz Kahraman,et al.  A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets , 2019, Eng. Appl. Artif. Intell..

[30]  Hossein Sayyadi Tooranloo,et al.  A model for failure mode and effects analysis based on intuitionistic fuzzy approach , 2016, Appl. Soft Comput..

[31]  Muhammet Gul,et al.  An FMEA-based TOPSIS approach under single valued neutrosophic sets for maritime risk evaluation: the case of ship navigation safety , 2020, Soft Computing.

[32]  Adil Baykasoğlu,et al.  Comprehensive fuzzy FMEA model: a case study of ERP implementation risks , 2017, Operational Research.

[33]  Harish Garg,et al.  Algorithm for T-Spherical Fuzzy Multi-Attribute Decision Making Based on Improved Interactive Aggregation Operators , 2018, Symmetry.

[34]  Harish Garg,et al.  Correlation coefficients for T-spherical fuzzy sets and their applications in clustering and multi-attribute decision making , 2020, Soft Comput..

[35]  Erhan Bozdag,et al.  Risk prioritization in Failure Mode and Effects Analysis using interval type-2 fuzzy sets , 2015, Expert Syst. Appl..

[36]  Anadergh Barbosa-Branco,et al.  Efeitos auditivos decorrentes da exposição ocupacional ao ruído em trabalhadores de marmorarias no Distrito Federal , 2004 .

[37]  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..

[38]  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.

[39]  Suleyman Mete,et al.  Assessing occupational risks in pipeline construction using FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy environment , 2019, Human and Ecological Risk Assessment: An International Journal.

[40]  Samuel Yousefi,et al.  Risk analysis of health, safety and environment in chemical industry integrating linguistic FMEA, fuzzy inference system and fuzzy DEA , 2019, Stochastic Environmental Research and Risk Assessment.

[41]  Igor Svrkota,et al.  Risk assessment model of mining equipment failure based on fuzzy logic , 2014, Expert Syst. Appl..

[42]  Wen Jiang,et al.  A new method to evaluate risk in failure mode and effects analysis under fuzzy information , 2018, Soft Comput..

[43]  Chunhe Xie,et al.  Failure mode and effects analysis based on a novel fuzzy evidential method , 2017, Appl. Soft Comput..

[44]  Harish Garg,et al.  A Multi-Attribute Decision Making Process with Immediate Probabilistic Interactive Averaging Aggregation Operators of T-Spherical Fuzzy Sets and Its Application in the Selection of Solar Cells , 2019 .

[45]  Sait Gül,et al.  Spherical fuzzy extension of DEMATEL (SF‐DEMATEL) , 2020, Int. J. Intell. Syst..