1. Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., et al. Industry 4.0", Bus. Inf. Syst. Eng., 6(3), pp. 239{242 (2014). 2. Shrouf, F., Ordieres, J., and Miragliotta, G. Smart factories in Industry 4.0: A review of the concept 2642 A. Kiraza et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 2635{2643 and of energy management approached in production based on the Internet of Things paradigm", IEEE International Conference on Industrial Engineering and Engineering Management, pp. 697{701 (2014). 3. Lichtblau, G., Stich, V., Bertenrath, R., Blum, M., et al., IMPULS { Industrie 4.0 { Readiness, Impuls-Stift. VDMA (2015). 4. Lanza, G., Nyhuis, P., Majid, A.S., Kuprat, T., et al. Empowerment and implementation strategies for Industry 4.0", Technische Informationsbibliothek, 111(1{2), pp. 76{79 (2016). 5. Pricewaterhouse Coopers. The Industry 4.0: Digital operations self assessment" (2016). 6. Rockwell Automation The connected enterprise maturity model" (2014). 7. Obervsterreich Intelligent production for institution" (2015). 8. Schumacher, A., Erol, S., and Sihn, W. A maturity model for assessing industry 4.0 readiness and maturity of manufacturing enterprises", Procedia CIRP, 52, pp. 161{166 (2016). 9. Price water house coopers. Industry 4.0: Building the digital enterprise" (2016). 10. Rowhanimanesh, A. and Akbarzadeh-T, M.R. Perception-based heuristic granular search: Exploiting uncertainty for analysis of certain functions", Sci. Iran., 18(3), pp. 617{626 (2011). 11. Booker, J.M. and Ross, T.J. An evolution of uncertainty assessment and quanti_cation", Sci. Iran., 18(3), pp. 669{676 (2011). 12. Ibadov, N. Determination of the risk factors impact on the construction projects implementation using fuzzy sets theory", Acta Phys. Pol. A., 130(1), pp. 107{111 (2016). 13. Adar, N.G., Egrisogut, A., and Kozan, R. Real time visual servoing of a 6-dof robotic arm using fuzzy-pid controller", Acta Phys. Pol. A., 128(2B), pp. 348{352 (2015). 14. Kosko, B. Fuzzy cognitive maps", International Journal of Man-Machine Studies, 24, pp. 65{75 (1986). 15. Axelrod, R., Structure of Decision: The Cognitive Maps of Political Elites, Princeton University Press (1976). [16] 16. Groumpos, P.P., Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems, Springer, pp. 1{22 (2010). 17. May, A.D., Lot_, A., Langensiepen, A., Lee, K., et al. Human emotional understanding for empathetic companion robots", Advances in Computational Intelligence Systems, 513, pp. 277{285 (2017). 18. Nikas, A. and Doukas, H. Developing robust climate policies: A fuzzy cognitive map approach", Robustness Analysis in Decision Aiding, Optimization, and Analytics, pp. 239{263 (2016). 19. Amirkhani, A., Papageorgiou, E.I., Mosavi, M.R., and Mohammadi, K. A novel medical decision support system based on fuzzy cognitive maps enhanced by intuitive and learning capabilities for modeling uncertainty", Appl. Math. Comput., 337, pp. 562{582 (2018). 20. Romero-C_ordoba, R., Olivas, J.A., Romero, F.P., Alonso-Gonzalez, F., et al. An application of fuzzy prototypes to the diagnosis and treatment of fuzzy diseases", Int. J. Intell. Syst., 32(2), pp. 194{210 (2017). 21. Sarabai, D.T. and Arthi, K. E_cient breast cancer classi_cation using improved fuzzy cognitive maps with csonn", Int. J. Appl. Eng. Res., 11(4), pp. 2478{2485 (2016). 22. Bevilacqua, M., Ciarapica, F.E., and Mazzuto, G. Fuzzy cognitive maps for adverse drug event risk management", Saf. Sci., 102, pp. 194{210 (2018). 23. Han, Y., Lu, Z., Du, Z., Luo, Q., et al. A YinYang bipolar fuzzy cognitive TOPSIS method to bipolar disorder diagnosis", Comput. Methods Programs Biomed., 158, pp. 1{10 (2018). 24. Chen, C.T. and Chiu, Y.T. A study of fuzzy cognitive map model with dynamic adjustment method for the interaction weights", International Conference on Advanced Materials for Science and Engineering (ICAMSE), pp. 699{702 (2016). 25. Case, D.M. and Stylios, C.D. Fuzzy cognitive map to model project management problems", Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), pp. 1{6 (2016). 26. Ribeiro, M.I.F., Ferreira, F.A.F., Jalali, M.S., and Meidut_e-Kavaliauskien_e, I. A fuzzy knowledge-based framework for risk assessment of residential real estate investments", Technol. Econ. Dev. Econ., 23(1), pp. 140{156 (2017). 27. Ferreira, F.A.F., Ferreira, J.J.M., Fernandes, C.I.M.A.S., and Meidut_o-Kavaliauskien_e, I. Enhancing knowledge and strategic planning of bank customer loyalty using fuzzy cognitive maps", Technol. Econ. Dev. Econ., 23(6), pp. 860{876 (2017). 28. Papageorgiou, E.I., Hatw_agner, M.F., Buruzs, A., and K_oczy, L.T. A concept reduction approach for fuzzy cognitive map models in decision making and management", Neurocomputing, 232, pp. 16{33 (2017). 29. Pacilly, F.C.A., Groot, J.C.J., Hofstede, G.J., Schaap, B.F., et al. Analysing potato late blight control as a social-ecological system using fuzzy cognitive mapping", Agron. Sustain. Dev., 36(2), p. 35 (2016). 30. Vasslides, J.M. and Jensen, O.P. Fuzzy cognitive mapping in support of integrated ecosystem assessments: Developing a shared conceptual model among stakeholders", J. Environ. Manage., 166, pp. 348{356 (2016). 31. Natarajan, R., Subramanian, J., and Papageorgiou, E.I. Hybrid learning of fuzzy cognitive maps for sugarcane yield classi_cation", Comput. Electron. Agric., 127, pp. 147{157 (2016). A. Kiraza et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 2635{2643 2643 32. Mustapha, I., Ali, B.M., Sali, A., Rasid, M.F.A., et al. An energy e_cient reinforcement learning based cooperative channel sensing for cognitive radio sensor networks", Pervasive Mob. Comput., 35, pp. 165{184 (2017). 33. Kim, J., Han, M., Lee, Y., and Park, Y. Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map", Expert Syst. Appl., 57, pp. 311{323 (2016). 34. Amer, M., Daim, T.U., and Jetter, A. Technology roadmap through fuzzy cognitive map-based scenarios: the case of wind energy sector of a developing country", Technol. Anal. Strateg. Manag., 28(2), pp. 131{155 (2016). 35. Kyriakarakos, G., Dounis, A.I., Arvanitis, K.G., and Papadakis, G. Design of a fuzzy cognitive maps variable-load energy management system for autonomous PV-reverse osmosis desalination systems: A simulation survey", Appl. Energy, 187, pp. 575{584 (2017). 36. C_ oban, V. and Onar, S.C_ . Modelling solar energy usage with fuzzy cognitive maps", Intelligence Systems in Environmental Management: Theory and Applications, pp. 159{187 (2017). 37. Dickerson, J.A. and Kosko, B. Virtual worlds as fuzzy cognitive maps", Proceedings of IEEE Virtual Reality Annual International Symposium, pp. 471{477 (1993). 38. Bagdatli, M.E.C. Karayolu projelerinin fayda-maliyet analizleri i_cin risk eklentili yeni bir bulan_k bili_ssel harita modeli", Sakarya University (2016). 39. S_anchez, J.A. and G_omez, A.T. Applications of fuzzy regression in actuarial analysis", J. Risk Insur., 70(4), pp. 665{699 (2003).