Open Access
RAIRO-Oper. Res.
Volume 55, Number 4, July-August 2021
Page(s) 2525 - 2543
Published online 25 August 2021
  • N.S. Abarqhouei, H. Hosseini Nasab and M.B. Fakhrzad, Design of the evaluation model for total ergonomics interventions with fuzzy approach. Sci. J. Pure Appl. Sci. 1 (2012) 119–129. [Google Scholar]
  • M.I. Abubakar and Q. Wang, Key human factors and their effects on human centered assembly performance. Int. J. Ind. Ergon. 69 (2019) 48–57. [CrossRef] [Google Scholar]
  • M. Ahmadifard, F. Sadenejad, I. Mohammadi and K. Aramesh, Forecasting stock market return using ANFIS: the case of Tehran Stock Exchange. Int. J. Adv. Stud. Humanit. Soc. Sci. 1 (2013) 452–459. [Google Scholar]
  • E. Akyuz and E. Celik, A fuzzy dematel method to evaluate critical operational hazards during gas freeing process in crude oil tankers. J. Loss Prev. Process Ind. 38 (2015) 243–253. [CrossRef] [Google Scholar]
  • A. Bavafa, A. Mahdiyar and A.K. Marsono, Identifying and assessing the critical factors for effective implementation of safety programs in construction projects. Saf. Sci. 106 (2018) 47–56. [CrossRef] [Google Scholar]
  • S. Chirra and D. Kumar, Evaluation of supply chain flexibility in automobile industry with fuzzy DEMATEL Approach. Global J. Flexible Syst. Manage. 19 (2018) 305–319. [CrossRef] [Google Scholar]
  • Y.W. Du and W. Zhou, New improved DEMATEL method based on both subjective experience and objective data. Eng. App. Artif. Intell. 83 (2019) 57–71. [CrossRef] [Google Scholar]
  • A. Ebrahimy Zade and M.B. Fakhrzad, A dynamic genetic algorithm for solving a single machine scheduling problem with periodic maintenance. Int. Scholarly Res. Not. 42 (2013) 4397–4409. [Google Scholar]
  • A.N. Esfahani, V.F. Sarand and A. Arian, Explain the impact of organizational factors affecting food safety performance using fuzzy dematel. Int. J. Manag. Sci. 5 (2015) 531–543. [Google Scholar]
  • R. Eslamipoor, M.B. Fakhrzad and Y. Zare Mehrjerdi, A new robust optimization model under uncertainty for new and remanufactured products. Int. J. Manage. Sci. Eng. Manage. 10 (2015) 137–142. [Google Scholar]
  • M.B. Fakhrzad, A. Sadeghieh and L. Emami, A new multi-objective job shop scheduling with setup times using a hybrid genetic algorithm. Int. J. Eng.-Trans. B: App. 26 (2012) 207. [Google Scholar]
  • A. Gabus and E. Fontela, Perceptions of the World Problem Antique: Communication Procedure, Communicating with Those Bearing Collective Responsibility (DEMATEL Report No. 1). Battelle Geneva Research Centre, , Geneva (1973). [Google Scholar]
  • G. George-Ufot, Y. Qu and I.J. Orji, Sustainable lifestyle factors influencing industries’ electric consumption patterns using Fuzzy logic and DEMATEL: the Nigerian perspective. J. Cleaner Prod. 162 (2017) 624–634. [CrossRef] [Google Scholar]
  • K. Govindan, R. Khodaverdi and A. Vafadarnikjoo, Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Syst. Appl. 42 (2015) 7207–7220. [CrossRef] [Google Scholar]
  • M. Gul, A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions. Hum. Ecol. Risk Assess. Int. J. 24 (2018) 1723–1760. [CrossRef] [Google Scholar]
  • M. Gul, Emergency department ergonomic design evaluation: a case study using fuzzy DEMATEL-focused two-stage methodology. Health Policy Technol. 8 (2019) 365–376. [CrossRef] [Google Scholar]
  • S.M. Hatefi and J. Tamošaitienė, An integrated fuzzy DEMATEL-fuzzy ANP model for evaluating construction projects by considering interrelationships among risk factors. J. Civ. Eng. Manag. 25 (2019) 114–131. [CrossRef] [Google Scholar]
  • J.S. Jeong and A. Ramrez-Gomez, Development of a web graphic model with fuzzy-decision-making trial and evaluation laboratory/multi-criteria-spatial decision support system (F-DEMATEL/MC-SDSS) for sustainable planning and construction of rural housings. J. Cleaner Prod. 199 (2018) 584–592. [CrossRef] [Google Scholar]
  • J.S. Jeong, L. Garca-Moruno and J. Hernandez-Blanco, Planning of rural housings in reservoir areas under (mass) tourism based on a fuzzy DEMATEL-GIS/MCDA hybrid and participatory method for Alange. Spain. Habitat Int. 57 (2016) 143–153. [Google Scholar]
  • Ö. Kabak, F. Ülengin, B. Çekyay, S. Önsel, Ö. Özaydin, Critical success factors for the iron and steel industry in Turkey: a fuzzy DEMATEL approach. Int. J. Fuzzy Syst. 18 (2016) 523–536. [CrossRef] [Google Scholar]
  • E.G. Kavilal, S.P. Venkatesan and K.D. Harsh Kumar, An integrated fuzzy approach for prioritizing supply chain complexity drivers of an Indian mining equipment manufacturer. Res. Policy 51 (2017) 204–218. [CrossRef] [Google Scholar]
  • Y. Li, Y. Hu, X. Zhang, Y. Deng and S. Mahadevan, An evidential DEMATEL method to identify critical success factors in emergency management. Appl. Soft Comput. 22 (2014) 504–510. [CrossRef] [Google Scholar]
  • K.P. Lin, M.L. Tseng and P.F. Pai, Sustainable supply chain management using approximate fuzzy DEMATEL method. Resour. Conserv. Recycl. 128 (2018) 134–142. [CrossRef] [Google Scholar]
  • H.C. Liu, J.X. You, C. Lu and Y.Z. Chen, Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model. Renew. Sustain. Energy Rev. 41 (2015) 932–942. [CrossRef] [Google Scholar]
  • A. Mahdiyar, S. Tabatabaee, A. Abdullah and A. Marto. Identifying and assessing the critical criteria affecting decision-making for green roof type selection, Sustain. Cities Soc. 39 (2018) 772–783. [CrossRef] [Google Scholar]
  • S. Mahmoudi, A. Jalali, M. Ahmadi, P. Abasi and N. Salari, Identifying critical success factors in Heart Failure Self-Care using fuzzy DEMATEL method. Appl. Soft Comput. J. 84 (2019) 105729. [CrossRef] [Google Scholar]
  • S.K. Mangla, P. Kumar and M.K. Barua, Flexible decision modeling for evaluating the risks in green supply chain using fuzzy AHP and IRP methodologies. Glob J. Flex Syst. Manag. 16 (2015) 19–35. [CrossRef] [Google Scholar]
  • R.K. Mavi and C. Standing, Critical success factors of sustainable project management in construction: a fuzzy DEMATEL-ANP approach. J. Clean. Prod. 194 (2018) 751–765. [CrossRef] [Google Scholar]
  • I. Mohammadfam, M. Mirzaei Aliabadi, A.R. Soltanian, M. Tabibzadeh and M. Mahdinia, Investigating interactions among vital variables affecting situation awareness based on Fuzzy DEMATEL method, Int. J. Ind. Ergon. 74 (2019) 102842. [CrossRef] [Google Scholar]
  • M. Nilashia, S. Samad, A. Abdul Manaf, H. Ahmadi, T.A. Rashid, A. Munshi, W. Almukadi, O. Ibrahim and O.H. Ahmed, Factors influencing medical tourism adoption in Malaysia: a DEMATEL-Fuzzy TOPSIS approach. Comput. Ind. Eng. 137 (2019) 106005. [CrossRef] [Google Scholar]
  • L.A. Ocampo, T.A.G. Tan and L.A. Sia, Using fuzzy DEMATEL in modeling the causal relationships of the antecedents of organizational citizenship behavior (OCB) in the hospitality industry: a case study in the Philippines. J. Hosp. Tour. Manag. 34 (2018) 11–29. [CrossRef] [Google Scholar]
  • M.A. Quader, S. Ahmed, R.A.R. Ghazilla and M. Dahari, Evaluation of criteria for CO2 capture and storage in the iron and steel industry using the 2-tuple DEMATEL technique. J. Clean. Prod. 120 (2016) 207–220. [CrossRef] [Google Scholar]
  • S. Rezaei, M. Aliabadi Farahani and S. Nadarajah, Application of fuzzy DEMATEL in explaining causal relations of intellectual capital indices: a study on Shahid Tondgooyan Petrochemical. Ann. Data. Sci. 3 (2016) 307–319. [CrossRef] [Google Scholar]
  • N. Sadra Abarqhouei, H. Hosseini Nasab and M.B. Fakhrzad, Macro ergonomics interventions and their impact on productivity and reduction of musculoskeletal disorders: including a case study. Iran. Occup. Health 9 (2012) 27–39. [Google Scholar]
  • M.A. Shoushtary, H. Hoseini Nasab and M.B. Fakhrzad, Team robot motion planning in dynamics environments using a new hybrid algorithm (honey bee mating optimization-tabu list). Chin. J. Eng. (2014, 2014,) 1–8. [CrossRef] [Google Scholar]
  • S.L. Si, X.Y. You, H.C. Liu and J. Huang, Identifying key performance indicators for holistic hospital management with a modified DEMATEL approach. Int. J. Environ. Res. Public Health 14 (2017) 934. [CrossRef] [Google Scholar]
  • C.M. Su, D.J. Horng, M.L. Tseng, A.S. Chiu, K.J. Wu and H.P. Chen, Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. J. Clean. Prod. 134 (2016) 469–481. [CrossRef] [Google Scholar]
  • W.L. Suo, B. Feng and Z.P. Fan, Extension of the DEMATEL method in an uncertain linguistic environment. Soft Comput. 16 (2012) 471–483. [CrossRef] [Google Scholar]
  • X. Wang, F. Zhou, M.K. Lim, Y. He and L. Li, Sustainable recycling partner selection using fuzzy DEMATEL-AEW- FVIKOR: a case study in small-and-medium enterprises (SMEs). J. Cleaner Prod. 196 (2018) 489–504. [CrossRef] [Google Scholar]
  • X. Xia, K. Govindan and Q. Zhu, Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach. J. Clean Prod. 87 (2015) 811–825. [CrossRef] [Google Scholar]
  • L.A. Zadeh, Fuzzy sets. Inf. Control 8 (1965) 338–353. [Google Scholar]
  • X. Zhou, Y. Shi, X. Deng and Y. Deng, D-DEMATEL: a new method to identify critical success factors in emergency management. Saf. Sci. 91 (2017) 93–104. [CrossRef] [Google Scholar]

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