Induced simplified neutrosophic correlated aggregation operators for multi-criteria group decision-making

References

• Atanassov, K. (1986). Intuitionistic fuzzy sets . Fuzzy Sets and Systems, 20(1), 87–96.
   Web of Science ®Google Scholar
• Atanassov, K., & Gargov, G. (1989). Interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 31(3), 343–349.10.1016/0165-0114(89)90205-4
   Web of Science ®Google Scholar
• Biswas, P., Pramanik, S., & Giri, B. C. (2015). TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment. Neural Computing & Applications, 27, 727–737. doi:10.1007/s00521-015-1891-2
   Web of Science ®Google Scholar
• Broumi, S., & Smarandache, F. (2013). Correlation coefficient of interval neutrosophic set. Applied Mechanics and Materials, 436, 511–517.10.4028/www.scientific.net/AMM.436
   Google Scholar
• Choquet, G. (1953). Theory of capacities. Annales of De l’Institut Fourier, 5, 131–295.
   Google Scholar
• Ji, P., Zhang, H. Y., & Wang, J.Q. (2018). A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Computing & Applications, 29(1), 221–234.
   Web of Science ®Google Scholar
• Liu, P. D., Chu, Y. C., Li, Y. W., & Chen, Y. B. (2014). Some generalized neutrosophic number Hamacher aggregation operators and their application to group decision making. International Journal of Fuzzy Systems, 16(2), 242–255.
   Web of Science ®Google Scholar
• Liu, C. F., & Luo, Y. S. (2016). Correlated aggregation operators for simplified neutrosophic set and their application in multi-attribute group decision making. Journal of Intelligent & Fuzzy Systems, 30(3), 1755–1761.10.3233/IFS-151886
   Web of Science ®Google Scholar
• Liu, P., & Wang, Y. (2014). Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean. Neural Computing and Applications, 25(7–8), 2001–2010.10.1007/s00521-014-1688-8
   Web of Science ®Google Scholar
• Majumdar, P., & Samanta, S. K. (2014). On similarity and entropy of neutrosophic sets. Journal of Intelligent and Fuzzy Systems, 26(3), 1245–1252.
   Web of Science ®Google Scholar
• Peng, J. J., Wang, J. Q., Wang, J., Zhang, H. Y., & Chen, X. H. (2016). Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. International Journal of Systems Science, 47(10), 2342–2358.
   Web of Science ®Google Scholar
• Peng, J. J., Wang, J. Q., Wu, X. H., Wang, J., & Chen, X. H. (2015). Multi-valued neutrosophic sets and power aggregation operators with their applications in multi-criteria group decision-making problems. International Journal of Computational Intelligence Systems, 8(2), 345–363.10.1080/18756891.2015.1001957
   Web of Science ®Google Scholar
• Peng, J. J., Wang, J., & Wu, X. (2016). An extension of the ELECTRE approach with multi-valued neutrosophic information. Neural Computing & Applications, 28(1), 1011–1022.
   Google Scholar
• Peng, J. J., Wang, J., & Yang, W. E. (2017). A multi-valued neutrosophic qualitative flexible approach based on likelihood for multi-criteria decision-making problems. International Journal of Systems Science, 48(2), 425–435.
   Google Scholar
• Peng, J. J., Wang, J. Q., Zhang, H. Y., & Chen, X. H. (2014). An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets. Applied Soft Computing, 25, 336–346.10.1016/j.asoc.2014.08.070
   Web of Science ®Google Scholar
• Şahin, R., & Küçük, A. (2015). Subsethood measure for single valued neutrosophic sets. Journal of Intelligent & Fuzzy Systems, 290(2), 525–530.10.3233/IFS-141304
   Google Scholar
• Şahin, R., & Liu, P. D. (2016). Maximizing deviation method for neutrosophic multiple attribute decision making with incomplete weight information. Neural Computing and Applications, 27 (7), 2017–2029.
   Web of Science ®Google Scholar
• Şahin, R., & Liu, P. D. (2017). Correlation coefficient of simplified neutrosophic hesitant fuzzy sets and its applications in decision making. Neural Computing & Applications, 28(6), 1387-1395.
   Google Scholar
• Smarandache, F. (1999) A unifying field in logics. neutrosophy: Neutrosophic probability, set and logic. Rehoboth: American Research Press.
   Google Scholar
• Smarandache, F. (2003). A unifying field in logics: Neutrosophic logic. Neutrosophy, neutrosophic set, neutrosophic probability and statistics. 3rd ed. Phoenix, AZ: Xiquan.
   Google Scholar
• Sugeno, M. (1974). Theory of fuzzy integral and its application (Doctorial dissertation). Tokyo: Tokyo Institute of Technology.
   Google Scholar
• Tan, C. Q., & Chen, X. H. (2010). Intuitionistic fuzzy Choquet integral operator for multi-criteria decision-making. Expert Systems with Applications, 37(1), 149–157.10.1016/j.eswa.2009.05.005
   Web of Science ®Google Scholar
• Tian, Z. P., Wang, J., Wang, J. Q., & Zhang, H. Y. (2017). Simplified neutrosophic linguistic multi-criteria group decision-making approach to green product development. Group Decision & Negotiation, 26(3), 597–627.
   Google Scholar
• Tian, Z. P., Wang, J., Zhang, H. Y., & Wang, J. Q. (2016). Multi-criteria decision-making based on generalized prioritized aggregation operators under simplified neutrosophic uncertain linguistic environment. International Journal of Machine Learning and Cybernetics. doi:10.1007/s13042-016-0552-9
   Web of Science ®Google Scholar
• Tian, Z. P., Zhang, H., Wang, J., Wang, J. Q., & Chen, X. H. (2016). Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets. International Journal of Systems Science, 47(15), 3598–3608.10.1080/00207721.2015.1102359
   Web of Science ®Google Scholar
• Wang, H., Smarandache, F., Zhang, Y. Q., & Sunderraman, R. (2005). Interval neutrosophic sets and logic: Theory and applications in computing. Phoenix, AZ: Hexis.
   Google Scholar
• Wang, H., Smarandache, F., Zhang, Y. Q., & Sunderraman, R. (2010). Single valued neutrosophic sets. Multispace Multistruct, 4, 410–413.
   Google Scholar
• Wu, X. H., Wang, J., Peng, J. J., & Chen, X. H. (2016). Cross-entropy and prioritized aggregation operator with simplified neutrosophic sets and their application in multi-criteria decision-making problems. Int. J. Fuzzy Syst. doi:10.1007/s40815-016-0180-2
   Google Scholar
• Xu, Z. S. (2010). Choquet integrals of weighted intuitionistic fuzzy information. Information Sciences, 180, 726–736.10.1016/j.ins.2009.11.011
   Web of Science ®Google Scholar
• Yager, R. R. (2003). Induced aggregation operators. Fuzzy Sets and Systems, 137, 59–69.10.1016/S0165-0114(02)00432-3
   Web of Science ®Google Scholar
• Ye, J. (2013). Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment. International Journal of General Systems, 42(4), 386–394.10.1080/03081079.2012.761609
   Web of Science ®Google Scholar
• Ye, J. (2014a). Single valued neutrosophic cross-entropy for multicriteria decision-making problems. Applied Mathematical Modelling, 38, 1170–1175.10.1016/j.apm.2013.07.020
   Web of Science ®Google Scholar
• Ye, J. (2014b). Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making. J. Intell. Fuzzy Syst, 26(1), 165–172.
   Web of Science ®Google Scholar
• Ye, J. (2014c). A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. Journal of Intelligent & Fuzzy Systems, 26, 2459–2466.
   Web of Science ®Google Scholar
• Ye, J. (2015). Multi-criteria decision-making method based on the possibility degree ranking method and ordered weighted aggregation operators of interval neutrosophic numbers. Journal of Intelligent & Fuzzy Systems, 28(3), 1307–1317.
   Web of Science ®Google Scholar
• Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.10.1016/S0019-9958(65)90241-X
   Web of Science ®Google Scholar
• Zhang, H. Y., Wang, J. Q., & Chen, X. H. (2014). Interval neutrosophic sets and their application in multicriteria decision making problems. Science World Journal. Article ID 645953.
   Google Scholar
• Zhang, H., Wang, J. Q., & Chen, X. H. (2016). An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets. Neural Computing & Applications, 27(3), 615-627.
   PubMed Web of Science ®Google Scholar