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A Novel Group Decision-Making Method Based on Linguistic Neutrosophic Maclaurin Symmetric Mean (Revision IV)

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Abstract

Linguistic neutrosophic number (LNN) is a specific form of neutrosophic number whose elements are expressed by linguistic terms. Maclaurin symmetric mean (MSM) operator is one of the basic collection operators in the modern knowledge fusion theory. Its most important feature is to consider the interrelationships among multiple input arguments. Multiple attribute group decision-making (MAGDM) with linguistic neutrosophic information is considered. First, we present some basic concepts, then we combine the MSM operator with linguistic neutrosophic environment and develop a sequence of linguistic neutrosophic MSM operators which are the linguistic neutrosophic Maclaurin symmetric mean (LNMSM) operator, the weighted linguistic neutrosophic Maclaurin symmetric mean (WLNMSM) operator, linguistic neutrosophic dual Maclaurin symmetric mean (LNDMSM) operator, and the weighted linguistic neutrosophic dual Maclaurin symmetric mean (WLNDMSM) operator. We look into some features of them such as monotonicity, boundedness, and idempotency and then discuss some special situations of these operators. A new idea based on the WLNMSM operator is proposed to solve an MAGDM problem where evaluation information is composed of LNNs. It is worth mentioning that the weight information of the decision-makers (DMs) and the attributes are completely unknown. In conclusion, a comparison analysis is performed with the existing methods. The developed method is based on both the WLNMSM operator which considers the interrelationships among any number of input arguments and LNNs which is a combination of the neutrosophic numbers, linguistic variables. At the same time, it also has the advantages of mentioned components. So, it enables preventing the loss or distortion of the original decision information in the decision-making process.

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References

  1. Zadeh LA. Fuzzy sets. Inf Control. 1965;8:338–56.

    Article  Google Scholar 

  2. Atanassov K. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986;20:87–96.

    Article  Google Scholar 

  3. Smarandache F. A unifying field in logics. Neutrosophy: Neutrosophic probability, set and logic, American Research Press, Rehoboth; 1999.

    Google Scholar 

  4. Wang H, Smarandache F, Zhang YQ, Sunderraman R. Single valued neutrosophic sets. Multispace and Multistructure. 2010;4:410–3.

    Google Scholar 

  5. Wang H, Smarandache F, Zhang YQ, Sunderraman R. Interval neutrosophic sets and logic: theory and applications in computing. Phoenix, AZ: Hexis; 2005.

    Google Scholar 

  6. Liu PD, Tang G. Some power generalized aggregation operators based on the interval neutrosophic sets and their application to decision making. Journal of Intelligent and Fuzzy Systems. 2016a;30:2517–28.

    Article  Google Scholar 

  7. Liu PD, Tang G. Multi-criteria group decision-making based on interval neutrosophic uncertain linguistic variables and Choquet integral. Cogn Comput. 2016b;8:1036–56.

    Article  Google Scholar 

  8. Ye J. Multiple attribute decision-making methods based on the expected value and the similarity measure of hesitant neutrosophic linguistic numbers. Cogn Comput. 2018;10:454–63.

    Article  Google Scholar 

  9. Zhang H, Ji P, Wang J, et al. A Neutrosophic normal cloud and its application in decision-making. Cogn Comput. 2016;8:649–69.

    Article  CAS  Google Scholar 

  10. Fang ZB, Ye J. Multiple attribute group decision-making method based on linguistic neutrosophic numbers. Symmetry. 2017;9(7):111.

    Article  Google Scholar 

  11. Ye J. A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. Journal of Intelligent and Fuzzy Systems. 2014;26:2459–66.

    Article  Google Scholar 

  12. Peng JJ, Wang JQ, Wang J, Zhang HY, Chen XH. Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. Int J Syst Sci. 2015a;47:2342–58.

    Article  Google Scholar 

  13. Zhang HY Wang JQ Chen XH Interval neutrosophic sets and their application in multicriteria decision making problems The Scientific World Journal, (2014) Article ID 645953.

  14. Peng JJ, Wang JQ, Wu XH, Wang J, Chen XH. Multi-valued neutrosophic sets and power aggregation operators with their applications in multi-criteria group decision-making problems. International Journal of Computational Intelligence Systems. 2015b;8:345–63.

    Article  Google Scholar 

  15. Liu PD, Teng F. Multiple attribute decision making method based on normal neutrosophic generalized weighted power averaging operator. Int J Mach Learn Cybern. 2018;9:281–93.

    Article  Google Scholar 

  16. Liu PD, Wang Y. Interval neutrosophic prioritized OWA operator and its application to multiple attribute decision making. J Syst Sci Complex. 2016;29:681–97.

    Article  Google Scholar 

  17. Tian Z-P, Wang J, Zhang H-Y, Wang J-Q. Multi-criteria decision-making based on generalized prioritized aggregation operators under simplified neutrosophic uncertain linguistic environment. Int J Mach Learn Cybern. 2018;9:523–39.

    Article  Google Scholar 

  18. Wu XH, Wang J, Peng JJ, Chen XH. Cross-entropy and prioritized aggregation operator with simplified neutrosophic sets and their application in multi-criteria decision-making problems. International Journal of Fuzzy Systems. 2016;18:1104–16.

    Article  Google Scholar 

  19. Fan C, Ye J, Hu K, Fan E. Bonferroni mean operators of linguistic neutrosophic numbers and their multiple attribute group decision-making methods. Information. 2017;8:107.

    Article  Google Scholar 

  20. Liu PD, Wang Y. Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean. Neural Comput & Applic. 2014;25:2001–10.

    Article  Google Scholar 

  21. Tian ZP, Wang J, Zhang HY, Chen XH, Wang JQ. Simplified neutrosophic linguistic normalized weighted Bonferroni mean operator and its application to multi-criteria decision-making problems. Filomat. 2016;30:3339–60.

    Article  Google Scholar 

  22. Li Y, Liu P, Chen Y. Some single valued neutrosophic number Heronian mean operators and their application in multiple attribute group decision making. Informatica. 2016a;27:85–110.

    Article  Google Scholar 

  23. Liu PD, Shi LL. Some neutrosophic uncertain linguistic number Heronian mean operators and their application to multi-attribute group decision making. Neural Comput & Applic. 2017;28:1079–93.

    Article  Google Scholar 

  24. Şahin R, Zhang HY. Induced simplified neutrosophic correlated aggregation operators for multi-criteria group decision-making. Journal of Experimental and Theoretical Artificial Intelligence. 2018;30:279–92.

    Article  Google Scholar 

  25. Maclaurin C. A second letter to Martin Folkes, Esq.; concerning the roots of equations, with demonstration of other rules of algebra. Philos Trans R Soc Lond. 1729;36:59–96.

    Google Scholar 

  26. Liu PD, Qin X. Maclaurin symmetric mean operators of linguistic intuitionistic fuzzy numbers and their application to multiple-attribute decision-making. Journal of Experimental & Theoretical Artificial Intelligence. 2017;29:1173–202.

    Article  Google Scholar 

  27. Wang J, Yang Y, Li L. Multi-criteria decision-making method based on single-valued neutrosophic linguistic Maclaurin symmetric mean operators. Neural Comput & Applic. 2018;30:1529–47.

    Article  Google Scholar 

  28. Zhu B, Xu ZS. Hesitant fuzzy bonferroni means for multicriteria decision making. J Oper Res Soc. 2013;64:1831–40.

    Article  Google Scholar 

  29. Beliakov G, James S. On extending generalized Bonferroni means to Atanassov orthopairs in decision making contexts. Fuzzy Sets Syst. 2013;211:84–98.

    Article  Google Scholar 

  30. Pecaric J, Wen JJ, Wang WL, Lu T. A generalization of Maclaurin’s inequalities and its applications. Mathematical Inequalities and Applications. 2005;8:583–98.

    Article  Google Scholar 

  31. Liang WZ, Zhao GY, Wu H. Evaluating investment risks of metallic mines using an extended TOPSIS method with linguistic neutrosophic numbers. Sysmetry. 2017;9(8):149.

    Article  Google Scholar 

  32. You X, Liu PD. Improved TODIM method based on linguistic neutrosophic numbers for multicriteria group decision-making. International Journal of Computational Intelligence Systems. 2019;12(2):544–56.

    Article  Google Scholar 

  33. Wang X, Geng Y, Yao P, Yang M. Multiple attribute group decision making approach based on extended VIKOR and linguistic neutrosophic set. Journal of Intelligent & Fuzzy Systems. 2019;36(1):149–60.

    Article  Google Scholar 

  34. Liu PD, You XL. Some linguistic neutrosophic Hamy mean operators and their application to multi-attribute group decision making. PLoS One. 2018;13(3):e0193027.

    Article  Google Scholar 

  35. Liu PD, Mahmood T, Khan Q. Group decision making based on power Heronian aggregation operators under linguistic neutrosophic environment. International Journal of Fuzzy Systems. 2018;20:970–85.

    Article  Google Scholar 

  36. Fan C, Feng S, Hu K. Linguistic neutrosophic numbers Einstein operator and its application in decision making. Mathematics. 2019;7(5):389.

    Article  Google Scholar 

  37. Bloomfield NJ, Knerr N, Encinas-Viso F. A comparison of network and clustering methods to detect biogeographical regions. Ecography. 2018;41(1):1–10.

    Article  Google Scholar 

  38. Coban A, Ertis IF, Cavdaroglu NA. Municipal solid waste management via multi-criteria decision making methods: a case study in Istanbul, Turkey. J Clean Prod. 2018;180:159–67.

    Article  Google Scholar 

  39. Okkonen L, Lehtonen O. Socio-economic impacts of community wind power projects in northern Scotland. Renew Energy. 2016;85:826–33.

    Article  Google Scholar 

  40. Zhang RL, Shi GQ. Analysis of the relationship between environmental policies and air quality during major social events. Chinese Journal of Population, Resources and Environment. 2016;14:167–73.

    Article  Google Scholar 

  41. Tchinda, B. S., Noubom, M., Tchiotsop, D., Louis-Dorr, V., & Wolf, D. (2019). Towards an automated medical diagnosis system for intestinal parasitosis. Informatics in Medicine Unlocked, 100238.

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Acknowledgments

The author sincerely thanks the anonymous reviewers and editors for their valuable time and suggestions to improve the quality of this paper.

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Correspondence to Rıdvan Şahin.

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Şahin, R., Küçük, G.D. A Novel Group Decision-Making Method Based on Linguistic Neutrosophic Maclaurin Symmetric Mean (Revision IV). Cogn Comput 12, 699–717 (2020). https://doi.org/10.1007/s12559-019-09709-0

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