Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method
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Muhammet Gul | Samuel Yousefi | Mahsa Valipour | M. Gul | S. Yousefi | Mahsa Valipour | Muhammet Gul
[1] Zhiwu Li,et al. A New Integrated Approach for Risk Evaluation and Classification With Dynamic Expert Weights , 2020, IEEE Transactions on Reliability.
[2] Hu-Chen Liu,et al. An integrated approach for failure mode and effect analysis based on uncertain linguistic GRA–TOPSIS method , 2018, Soft Comput..
[3] Zdravko Nunić,et al. Evaluation and selection of Manufacturer PVC carpentry using FUCOM-MABAC model , 2018 .
[4] Mustafa Jahangoshai Rezaee,et al. Risk measurement and prioritization of auto parts manufacturing processes based on process failure analysis, interval data envelopment analysis and grey relational analysis , 2018, J. Intell. Manuf..
[5] Fatih Ecer,et al. Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model , 2020 .
[6] Samuel Yousefi,et al. Analysis of ground vibration risk on mine infrastructures: integrating fuzzy slack-based measure model and failure effects analysis , 2018, International Journal of Environmental Science and Technology.
[7] Arash Alizadeh,et al. HSE risk prioritization using robust DEA-FMEA approach with undesirable outputs: A study of automotive parts industry in Iran , 2018 .
[8] Prasenjit Chatterjee,et al. Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities , 2020, Expert Syst. Appl..
[9] Florentin Smarandache,et al. A decision-making framework for China's rare earth industry security evaluation by neutrosophic soft CoCoSo method , 2020, J. Intell. Fuzzy Syst..
[10] Yong Deng,et al. A Method of Converting Z-number to Classical Fuzzy Number , 2012 .
[11] Gwo-Hshiung Tzeng,et al. A hybrid MCDM-based FMEA model for identification of critical failure modes in manufacturing , 2020, Soft Computing.
[12] Elmina Durmić,et al. The Evaluation of the Criteria for Sustainable Supplier Selection by Using the FUCOM Method , 2019, Operational Research in Engineering Sciences: Theory and Applications.
[13] Hu-Chen Liu,et al. Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review , 2019, Comput. Ind. Eng..
[14] Theory-Based Failure Modes and Effect Analysis for Medication Errors , 2021, Journal of healthcare engineering.
[15] Naim Ahmad,et al. Implementing Fuzzy AHP and FUCOM to evaluate critical success factors for sustained academic quality assurance and ABET accreditation , 2020, PloS one.
[16] 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.
[17] Samuel Yousefi,et al. An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures , 2019, Appl. Soft Comput..
[18] Erkan Celik,et al. Assessment of occupational hazards and associated risks in fuzzy environment: A case study of a university chemical laboratory , 2017 .
[19] Xindong Peng,et al. Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation , 2019, Artificial Intelligence Review.
[20] Muhammet Gul,et al. A manufacturing failure mode and effect analysis based on fuzzy and probabilistic risk analysis , 2020, Appl. Soft Comput..
[21] Dragan Pamucar,et al. A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM) , 2018, Symmetry.
[22] Çağlar Karamaşa,et al. PRIORITIZATION of ROAD TRANSPORTATION RISKS: AN APPLICATION in GİRESUN PROVINCE , 2020, Operational Research in Engineering Sciences: Theory and Applications.
[23] Yulong Li,et al. A Hybrid Multilevel FTA-FMEA Method for a Flexible Manufacturing Cell Based on Meta-Action and TOPSIS , 2019, IEEE Access.
[24] Elizabeth Chang,et al. ZBWM: The Z-number extension of Best Worst Method and its application for supplier development , 2018, Expert Syst. Appl..
[25] Ashutosh Kumar Singh,et al. Neural network modeling and combined compromise solution (CoCoSo) method for optimization of drilling performances in polymer nanocomposites , 2020, Journal of Thermoplastic Composite Materials.
[26] Darko Bozanic,et al. Multi-criteria FUCOM – Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge , 2019, Decision Making: Applications in Management and Engineering.
[27] Mustafa Jahangoshai Rezaee,et al. Risk analysis of sequential processes in food industry integrating multi-stage fuzzy cognitive map and process failure mode and effects analysis , 2018, Comput. Ind. Eng..
[28] E. Zavadskas,et al. Assessment of Progress towards Achieving Sustainable Development Goals of the “Agenda 2030” by Using the CoCoSo and the Shannon Entropy Methods: The Case of the EU Countries , 2020, Sustainability.
[29] Morteza Yazdani,et al. Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic , 2020, Symmetry.
[30] Sanjin Milinković,et al. Selection of the Best Location for RFID Wagon Monitoring Device on Serbian Railways Based on FUCOM-TOPSIS Method and Fuzzy Set Theory , 2019 .
[31] Željko Stević,et al. A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company , 2020, Logistics.
[32] Nasser Shahsavari-Pour,et al. A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment , 2020, J. Enterp. Inf. Manag..
[33] Huchang Liao,et al. Evaluating the green growth indicators to achieve sustainable development: A novel extended interval‐valued intuitionistic fuzzy‐combined compromise solution approach , 2020 .
[34] Samuel Yousefi,et al. Risk assessment in discrete production processes considering uncertainty and reliability: Z-number multi-stage fuzzy cognitive map with fuzzy learning algorithm , 2020, Artificial Intelligence Review.
[35] Mustafa Jahangoshai Rezaee,et al. Multi-stage cognitive map for failures assessment of production processes: An extension in structure and algorithm , 2017, Neurocomputing.
[36] Huchang Liao,et al. A GREY COMBINED COMPROMISE SOLUTION (COCOSO-G) METHOD FOR SUPPLIER SELECTION IN CONSTRUCTION MANAGEMENT , 2019 .
[37] Luis Martínez,et al. A phase change material selection using the interval-valued target-based BWM-CoCoMULTIMOORA approach: A case-study on interior building applications , 2020, Appl. Soft Comput..
[38] M. R. A. Purnomo,et al. Fuzzy-analytical-hierarchy process in failure mode and effect analysis (FMEA) to identify process failure in the warehouse of a cement industry , 2019, Journal of Engineering, Design and Technology.
[39] I. Badi,et al. Landfill site selection using a novel FUCOM-CODAS model: A case study in Libya , 2020 .
[40] Hu-Chen Liu,et al. Failure mode and effect analysis improvement: A systematic literature review and future research agenda , 2020, Reliab. Eng. Syst. Saf..
[41] Prasenjit Chatterjee,et al. Sustainable supplier selection using combined FUCOM – Rough SAW model , 2020 .
[42] Xindong PENG,et al. FUZZY DECISION MAKING METHOD BASED ON COCOSO WITH CRITIC FOR FINANCIAL RISK EVALUATION , 2020 .
[43] Rehan Sadiq,et al. Fuzzy cognitive maps in systems risk analysis: a comprehensive review , 2020, Complex & Intelligent Systems.
[44] Prasenjit Chatterjee,et al. Intelligent Decision Making Tools in Manufacturing Technology Selection , 2018 .
[45] F. Ecer. An analysis of the factors affecting wind farm site selection through FUCOM subjective weighting method , 2021, Pamukkale University Journal of Engineering Sciences.
[46] Alptekin Ulutaş,et al. Location selection for logistics center with fuzzy SWARA and CoCoSo methods , 2020, J. Intell. Fuzzy Syst..
[47] Zivko Erceg,et al. A New Model for Stock Management in Order to Rationalize Costs: ABC-FUCOM-Interval Rough CoCoSo Model , 2019, Symmetry.
[48] Darko Bozanic,et al. A fuzzy Full Consistency Method-Dombi-Bonferroni model for prioritizing transportation demand management measures , 2020, Appl. Soft Comput..
[49] Hu-Chen Liu,et al. Failure mode and effects analysis for proactive healthcare risk evaluation: A systematic literature review. , 2019, Journal of evaluation in clinical practice.
[50] E. Zavadskas,et al. A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems , 2019, Management Decision.
[51] Jose Arturo Garza-Reyes,et al. Decision-making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA) , 2020 .
[52] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[53] E. Celik,et al. A holistic FMEA approach by fuzzy-based Bayesian network and best–worst method , 2021, Complex & Intelligent Systems.
[54] Huchang Liao,et al. Selection third-party logistics service providers in supply chain finance by a hesitant fuzzy linguistic combined compromise solution method , 2019, Economic Research-Ekonomska Istraživanja.
[55] Sijun Bai,et al. Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation , 2019, Energies.
[56] Nan Liu,et al. Risk evaluation approaches in failure mode and effects analysis: A literature review , 2013, Expert Syst. Appl..
[57] Huchang Liao,et al. Renewable energy investments by a combined compromise solution method with stochastic information , 2020, Journal of Cleaner Production.
[58] 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.
[59] Mustafa Jahangoshai Rezaee,et al. Causal effect analysis of logistics processes risks in manufacturing industries using sequential multi-stage fuzzy cognitive map: a case study , 2020, Int. J. Comput. Integr. Manuf..
[60] Lotfi A. Zadeh,et al. A Note on Z-numbers , 2011, Inf. Sci..