1. Janic, M. An assessment of risk and safety in civil aviation", Journal of Air Transport Management, 6(1), pp. 43{50 (2000). 2. Odegard, S. Safety management in civil aviation: A useful method for improved safety in medical care", Safety Science Monitor, 4(1), pp. 1{12 (2000). 3. Malekly, H., Mousavi, S.M., and Hashemi, H. A fuzzy integrated methodology for evaluating conceptual bridge design", Expert Systems with Applications, 37(7), pp. 4910{4920 (2010). 4. Bailey, N. Risk perception and safety management systems in the global maritime industry", Policy and Practice in Health and Safety, 4(2), pp. 59{75 (2006). 5. Bhattacharya, S., Impact of the ISM Code on the Management of Occupational Health and Safety in the Maritime Industry, Cardi_ University (2009). 6. Horlick-Jones, T. Reasoning about safety management policy in everyday terms: a pilot study in citizen engagement for the UK railway industry", Journal of Risk Research, 11(6), pp. 697{718 (2008). 7. Kudla, N. and Majumdar, A., Developing and Testing Model of Data Quality for Safety Management Information Systems: Exploratory Study in British Railway Industry, in Transportation Research Board, 92nd Annual Meeting (2013). 8. Mousavi, S.M., Mirdamadi, S., Siadat, A., Dantan, J., and Tavakkoli-Moghaddam, R. An intuitionistic fuzzy grey model for selection problems with an application 998 H. Gitinavard et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 983{1000 to the inspection planning in manufacturing _rms", Engineering Applications of Arti_cial Intelligence, 39, pp. 157{167 (2015). 9. Vahdani, B., Mousavi, S.M., and Tavakkoli- Moghaddam, R. Group decision making based on novel fuzzy modi_ed TOPSIS method", Applied Mathematical Modelling, 35(9), pp. 4257{4269 (2011). 10. Vahdani, B., Mousavi, S.M., Tavakkoli-Moghaddam, R., Ghodratnama, A., and Mohammadi, M. Robot selection by a multiple criteria complex proportional assessment method under an interval-valued fuzzy environment", International Journal of Advanced Manufacturing Technology, 73(5{8), pp. 687{697 (2014). 11. XIAO-ming, W. and LIU, X.-Y. Safety system management and safety information management in major transportation construction projects", Safety and Environmental Engineering, 3, p. 015 (2011). 12. Guo, H., Li, H., and Li, V. VP-based safety management in large-scale construction projects: A conceptual framework", Automation in Construction, 34, pp. 16{24 (2013). 13. Mousavi, S.M., Tavakkoli-Moghaddam, R., Azaron, A., Mojtahedi, S., and Hashemi, H. Risk assessment for highway projects using jackknife technique", Expert Systems with Applications, 38(5), pp. 5514{5524 (2011). 14. Hashemi, H., Mousavi, S.M., and Mojtahedi, S.M.H. Bootstrap technique for risk analysis with interval numbers in bridge construction projects", Journal of Construction Engineering and Management, 137(8), pp. 600{608 (2011). 15. Vahdani, B., Mousavi, S.M., Hashemi, H., Mousakhani, M., and Tavakkoli-Moghaddam, R. A new compromise solution method for fuzzy group decision-making problems with an application to the contractor selection", Engineering Applications of Arti_cial Intelligence, 26(2), pp. 779{788 (2013). 16. Schinas, O. Examining the use and application of multi-criteria decision making techniques in safety assessment", in International Symposium on Maritime Safety, Security and Environmental Protection (2007). 17. Fazil, A., Rajic, A., Sanchez, J., and McEwen, S. Choices, choices: the application of multi-criteria decision analysis to a food safety decision-making problem", Journal of Food Protection, 71(11), pp. 2323{2333 (2008). 18. Jozi, A.S. and Pouriyeh, A.A. Health-safety and environmental risk assessment of power plants using multi criteria decision making method", Chemical Industry and Chemical Engineering Quarterly, 17(4), pp. 437{ 449 (2011). 19. Mangalathu, S.G., Shanmugam, N.S., Sankaranarayanasamy, K., Ramesh, T., and Muthukumar, K. System safety in LPG _red furnace - A multi criteria decision making technique", Advances in Production Engineering & Management, 7(2), pp. 123{134 (2012). 20. Zadeh, L.A. Fuzzy sets", Information and Control, 8(3), pp. 338{353 (1965). 21. Kahraman, C., Onar, S.C., and Oztaysi, B. Fuzzy multicriteria decision-making: a literature review", International Journal of Computational Intelligence Systems, 8(4), pp. 637{666 (2015). 22. Bao, Q. Multi-criteria decision making techniques for combining di_erent sets of road safety performance indicators into an overall index", Master's Thesis of Transportation Science at Hasselt University (2010). 23. Mojtahedi, S.M.H., Mousavi, S.M., and Makui, A. Project risk identi_cation and assessment simultaneously using multi-attribute group decision making technique", Safety Science, 48(4), pp. 499{507 (2010). 24. Mousavi, S.M., Tavakkoli-Moghaddam, R., Hashemi, H., and Mojtahedi, S.M.H. A novel approach based on non-parametric resampling with interval analysis for large engineering project risks", Safety Science, 49(10), pp. 1340{1348 (2011). 25. Khorasani, G., Mirmohammadi, F., Hassan Motamed, M.F., Tatari, A., Verki, M.R.M., Khorasani, M., and Fazelpour, S. Application of multi criteria decision making tools in road safety performance indicators and determine appropriate method with average concept", International Journal of Innovative Technology and Exploring Engineering (IJITEE), 3(5) (2013). 26. Skorupski, J. Multi-criteria group decision making under uncertainty with application to air tra_c safety", Expert Systems with Applications, 41(16), pp. 7406{7414 (2014). 27. Torra, V. and Narukawa, Y. On hesitant fuzzy sets and decision", in Fuzzy Systems, FUZZ-IEEE 2009, IEEE International Conference on (2009). 28. Torra, V. Hesitant fuzzy sets", International Journal of Intelligent Systems, 25(6), pp. 529{539 (2010). 29. Farhadinia, B. A novel method of ranking hesitant fuzzy values for multiple attribute decision-making problems", International Journal of Intelligent Systems, 28(8), pp. 752{767 (2013). 30. Yu, D., Zhang, W., and Xu, Y. Group decision making under hesitant fuzzy environment with application to personnel evaluation", Knowledge-Based Systems, 52, pp. 1{10 (2013). 31. Wang, J.Q., Wang, D.D., Yu Zhang, H., and Chen, X.H. Multi-criteria outranking approach with hesitant fuzzy sets", OR Spectrum, 36(4), pp. 1001{1019 (2014). 32. Zhang, Y., Wang, Y., and Wang, J. Objective attributes weights determining based on Shannon information entropy in hesitant fuzzy multiple attribute decision making", Mathematical Problems in Engineering, 2014, pp. 30{36 (2014). 33. Rodr__guez, R.M., Mart__nez, L., Torra, V., Xu, Z., and Herrera, F. Hesitant fuzzy sets: state of the art and future directions", International Journal of Intelligent Systems, 29(6), pp. 495{524 (2014). H. Gitinavard et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 983{1000 999 34. Pei, Z. and Yi, L. A note on operations of hesitant fuzzy sets", International Journal of Computational Intelligence Systems, 8(2), pp. 226{239 (2015). 35. Yan, X. An approach to evaluating the risk of marketing with hesitant fuzzy information", IJACT: International Journal of Advancements in Computing Technology, 4(9), pp. 122{128 (2012). 36. Yu, D., Wu, Y., and Zhou, W. Generalized hesitant fuzzy Bonferroni mean and its application in multicriteria group decision making", Journal of Information and Computational Science, 9(2), pp. 267{274 (2012). 37. Xu, Z. and Zhang, X. Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information", Knowledge-Based Systems, 52, pp. 53{64 (2013). 38. Liu, H. and Rodr__guez, R.M. A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making", Information Sciences, 258, pp. 220{238 (2014). 39. Liu, D.-N. Model for evaluating the electrical power system safety with hesitant fuzzy linguistic information", Journal of Intelligent & Fuzzy Systems, 29(2), pp. 725{730 (2015). 40. Chen, N., Xu, Z., and Xia, M. Interval-valued hesitant preference relations and their applications to group decision making", Knowledge-Based Systems, 37, pp. 528{540 (2013). 41. Farhadinia, B. Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets", Information Sciences, 240, pp. 129{144 (2013). 42. Li, L.-G. and Peng, D.-H. Interval-valued hesitant fuzzy Hamacher synergetic weighted aggregation operators and their application to shale gas areas selection", Mathematical Problems in Engineering, 2014, pp. 1{25 (2014). 43. Zhang, X. and Xu, Z. Interval programming method for hesitant fuzzy multi-attribute group decision making with incomplete preference over alternatives", Computers & Industrial Engineering, 75, pp. 217{229 (2014). 44. Torra, V. and Narukawa, Y., Modeling Decisions: Aggregation Operators and Information Fusion, Springer (2007). 45. Fan, Z.-P., Ma, J., and Zhang, Q. An approach to multiple attribute decision making based on fuzzy preference information on alternatives", Fuzzy Sets and Systems, 131(1), pp. 101{106 (2002). 46. Wang, Y.-M. and Parkan, C. A general multiple attribute decision-making approach for integrating subjective preferences and objective information", Fuzzy Sets and Systems, 157(10), pp. 1333{1345 (2006). 47. Chen, C.-F. and Lee, C.-L. Determining the attribute weights of professional conference organizer selection: an application of the fuzzy AHP approach", Tourism Economics, 17(5), pp. 1129{1139 (2011). 48. Feng, X., Zuo, W., Wang, J., and Feng, L. TOPSIS method for hesitant fuzzy multiple attribute decision making", Journal of Intelligent and Fuzzy Systems, 26(5), pp. 2263{2269 (2014). 49. Atanassov, K.T. Intuitionistic fuzzy sets", Fuzzy Sets and Systems, 20(1), pp. 87{96 (1986). 50. Atanassov, K.T. More on intuitionistic fuzzy sets", Fuzzy Sets and Systems, 33(1), pp. 37{45 (1989). 51. Atanassov, K.T. Two theorems for intuitionistic fuzzy sets", Fuzzy Sets and Systems, 110(2), pp. 267{269 (2000). 52. Xia, M. and Xu, Z. Hesitant fuzzy information aggregation in decision making", International Journal of Approximate Reasoning, 52(3), pp. 395{407 (2011). 53. Liao, H., Xu, Z., and Xia, M. Multiplicative consistency of hesitant fuzzy preference relation and its application in group decision making", International Journal of Information Technology & Decision Making, 13(1), pp. 47{76 (2014). 54. Gitinavard, H., Mousavi, S.M., and Vahdani, B. Soft computing-based new interval-valued hesitant fuzzy multi-criteria group assessment method with last aggregation to industrial decision problems", Soft Computing, 21(12), pp. 3247-3265 (2017). 55. Wei, G., Zhao, X., and Lin, R. Some hesitant interval-valued fuzzy aggregation operators and their applications to multiple attribute decision making", Knowledge-Based Systems, 46, pp. 43{53 (2013). 56. Xu, Z. and Xia, M. Distance and similarity measures for hesitant fuzzy sets", Information Sciences, 181(11), pp. 2128{2138 (2011). 57. Zhu, B., Xu, Z., and Xia, M. Hesitant fuzzy geometric Bonferroni means", Information Sciences, 205, pp. 72{ 85 (2012). 58. Zhang, Z., Wang, C., Tian, D., and Li, K. Induced generalized hesitant fuzzy operators and their application to multiple attribute group decision making", Computers & Industrial Engineering, 67, pp. 116{138 (2014). 59. Zhang, N. and Wei, G. Extension of VIKOR method for decision making problem based on hesitant fuzzy set", Applied Mathematical Modelling, 37(7), pp. 4938{4947 (2013).
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