Single-valued neutrosophic linguistic reducible weighted MSM for tourism mobile e-commerce service quality evaluation

Document Type : Article

Author

School of Information Science and Engineering, Shaoguan University, Shaoguan, 512005, China

Abstract

The tourism mobile e-commerce service quality evaluation (TMESQE) is of great concern to enterprises for enriching the service content of the enterprise and improving its market competitiveness. The key issue arises tremendous vagueness and reciprocity for TMESQE.
The Maclaurin symmetric mean (MSM), as a vital information fusion tool, can capture the reciprocity among multiple given argument more effectually.
Amount of weighted MSMs have been presented for dealing various neutrosophic information integration issues because the arguments are hourly interoperable.
However, these kinds of weighted MSM (WMSM) operators are out of the reducibility or idempotency. To solve two above issues, we introduce the single-valued neutrosophic linguistic reducible WMSM (SVNLRWMSM) operator and the single-valued neutrosophic linguistic reducible weighted dual MSM (SVNLRWDMSM) operator. In the meantime, certain interesting properties and some special cases of developed operators are explored in detail. Whereafter,
we develop two multiple attribute decision making (MADM) algorithms based on SVNLRWMSM and SVNLRWDMSM for dealing the TMESQE issue, along with the sensitivity analysis of various parameter values on final ordering. Conclusively, a comparison with some existing algorithms has been conducted for showing their availability.

Keywords

References

References:
1. China Internet Network Information Center: 42nd China Internet development statistics report. http://www.cac.gov.cn/2018-08/20/c 1123296882. htM (2018).
2. China Tourism Academy: Major data reports on the tourism economy in the first half of 2018.http://www.ctaweb.org/html/2018-8/2018-8-22-1 0-48-50740.html (2018).
3. Wu, Y.F., Hannam, K., and Xu, H.G. "ReconceptuX.Peng/Scientia Iranica, Transactions E: Industrial Engineering 29 (2022) 247-264 263 alising home in seasonal Chinese tourism mobilities", Ann. Tour. Res., 73, pp. 71-80 (2018).
4. Lopes, A.P.F., Mu~noz, M.M., and Alarcon-Urbistondo, P. "Regional tourism competitiveness using the PROMETHEE approach", Ann. Tour. Res., 73, pp. 1-13 (2018).
5. Ye, J. "An extended TOPSIS method for multiple attribute group decision making based on single valued neutrosophic linguistic numbers", J. Intell. Fuzzy Syst., 28(1), pp. 247-255 (2015).
6. Smarandache, F., Neutrosophy. Neutrosophic Probability, Set, and Logic:Analytic Synthesis & Synthetic Analysis, In ProQuest Information & Learning, F. Smarandache, Edn., 5th Edn., pp. 118-123, American Research Press, Michigan, USA (1998).
7. Wang, H., Smarandache, F., Zhang, Y., et al. "Single valued neutrosophic sets", Multispace Multistruct, 4, pp. 410-413 (2010).
8. Chen, J., Zeng, S., and Zhang, C. "An OWA distancebased, single-valued neutrosophic linguistic topsis approach for green supplier evaluation and selection in low-carbon supply chains", Int. J. Env. Res. Pub. He., 15(7), pp. 1-15 (2018).
9. Ji, P., Zhang, H.Y., and Wang, J.Q. "Selecting an outsourcing provider based on the combined MABACELECTRE method using single-valued neutrosophic linguistic sets", Comput. Ind. Eng., 120, pp. 429-441 (2018).
10. Luo, S., Cheng, P., Wang, J.Q., et al. "Selecting project delivery systems based on simplified neutrosophic linguistic preference relations", Symmetry, 9(8), pp. 1-21 (2017).
11. Peng, X. and Dai, J. "A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017", Artif. Intell. Rev., 53, pp. 199-255 (2020).
12. Tian, Z., Wang, J., Wang, J., et al. "Simplified neutrosophic linguistic multi-criteria group decisionmaking approach to green product development", Group Decis. Neg., 26(3), pp. 597-627 (2017).
13. Ye, J., Aggregation Operators of Neutrosophic Linguistic Numbers for Multiple Attribute Group Decision Making, SpringerPlus, 5, pp. 1-11 (2016).
14. Tian, Z., Wang, J., Wang, J.Q., et al. "An improved MULTIMOORA approach for multi-criteria decisionmaking based on interdependent inputs of simplified neutrosophic linguistic information", Neural Comput.Appl., 28(1), pp. 585-597 (2017).
15. Tian, Z.P., Wang, J., Zhang, H., et al. "Simplified neutrosophic linguistic normalized weighted Bonferroni mean operator and its application to multicriteria decision-making problems", Filomat, 30(12), pp. 3339-3360 (2016).
16. Tan, R., Zhang, W., and Chen, S. "Some generalized single valued neutrosophic linguistic operators and their application to multiple attribute group decision making", J. Syst. Sci. Inf., 5(2), pp. 148-162 (2017).
17. Wang, J., Tian, C., Zhang, X., et al. "Multi-criteria decision-making method based on simplified neutrosophic linguistic information with cloud model", Symmetry, 10(6), pp. 1-23 (2018).
18. Wang, J.Q., Yang, Y., and Li, L. "Multi-criteria decision-making method based on single-valued neutrosophic linguistic Maclaurin symmetric mean operators", Neural Comput. Appl., 30(5), pp. 1529-1547 (2018).
19. Maclaurin, C. "A second letter to Martin Folkes, Esq.; concerning the roots of equations, with demonstration of other rules of algebra", Philos. Trans. Roy. Soc. London Ser. A., 36, pp. 59-96 (1729).
20. Qin, J. and Liu, X. "An approach to intuitionistic fuzzy multiple attribute decision making based on Maclaurin symmetric mean operators", J. Intell. Fuzzy Syst., 27(5), pp. 2177-2190 (2014).
21. Qin, J. and Liu, X. "Approaches to uncertain linguistic multiple attribute decision making based on dual Maclaurin symmetric mean", J. Intell. Fuzzy Syst., 29(1), pp. 171-186 (2015).
22. Ju, Y., Liu, X., and Ju, D. "Some new intuitionistic linguistic aggregation operators based on Maclaurin symmetric mean and their applications to multiple attribute group decision making", Soft Comput., 20(11), pp. 4521-4548 (2016).
23. Liu, P. and Qin, X. "Maclaurin symmetric mean operators of linguistic intuitionistic fuzzy numbers and their application to multiple-attribute decisionmaking", J. Exp. Theor. Artif. Intell., 29(6), pp. 1173-1202 (2017).
24. Yang, W. and Pang, Y. "New Pythagorean fuzzy interaction Maclaurin symmetric mean operators and their application in multiple attribute decision making", IEEE Access, 6, pp. 39241-39260 (2018).
25. Yu, S.M., Zhang, H.Y., and Wang, J.Q. "Hesitant fuzzy linguistic Maclaurin symmetric mean operators and their applications to multi-criteria decisionmaking problem", Int. J. Intell. Syst., 33(5), pp. 953- 982 (2018).
26. Wei, G. and Lu, M. "Pythagorean fuzzy Maclaurin symmetric mean operators in multiple attribute decision making", Int. J. Intell. Syst., 33(5), pp. 1043-1070 (2018).
27. Qin, J., Liu, X., and Pedrycz, W. "Hesitant fuzzy Maclaurin symmetric mean operators and its application to multiple-attribute decision making", Int. J. Fuzzy Syst., 17(4), pp. 509-520 (2015).
28. Liu, P. and Zhang, X. "Some Maclaurin symmetric mean operators for single-valued trapezoidal neutrosophic numbers and their applications to group decision making", Int. J. Fuzzy Syst., 20(1), pp. 45-61 (2018).
29. Geng, Y., Wang, X., Li, X., et al. "Some intervalneutrosophic linguistic Maclaurin symmetric mean operators and their application in multiple attribute decision making", Symmetry, 10(4), p. 127 (2018).
30. Ju, D., Ju, Y., andWang, A. "Multiple attribute group decision making based on Maclaurin symmetric mean operator under single-valued neutrosophic interval 2- tuple linguistic environment", J. Intell. Fuzzy Syst.,34(4), pp. 2579-2595 (2018).
31. Zhang, Z., Wei, F., and Zhou, S. "Approaches to comprehensive evaluation with 2-tuple linguistic information", J. Intell. Fuzzy Syst., 28(1), pp. 469-475 (2015).
32. Wei, G.W., Wei, C., Wang, J., et al. "Some q-rung orthopair fuzzy Maclaurin symmetric mean operators and their applications to potential evaluation of emerging technology commercialization", Int. J. Intell. Syst., 34(1), pp. 50-81 (2019).
33. Liu, P., Chen, S.M., and Wang, P. "Multipleattribute group decision-making based on q-rung orthopair fuzzy power Maclaurin symmetric mean operators", IEEE Trans. Syst. Man Cyber. Syst., 50, pp. 3741-3756 (2020). URL s://doi.org/10.1109/ TSMC.2018.2852948.
34. Shi, M. and Xiao, Q. "Intuitionistic fuzzy reducible weighted Maclaurin symmetric means and their application in multiple-attribute decision making", Soft Comput., 23(20), pp. 10029-10043 (2019).
35. Huang, H.H. and Liang, Y. "Hybrid L1/2+ 2 method for gene selection in the Cox proportional hazards model", Comput. Meth. Prog. Bio., 164, pp. 65-73 (2018).
36. Huang, H.H. and Liang, Y. "An integrative analysis system of gene expression using self-paced learning and SCAD-Net", Expert Syst. Appl., 135, pp. 102-112 (2019).
37. Peng, X. and Liu, C. "Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set", J. Intell. Fuzzy Syst., 32(1), pp. 955-968 (2017).
38. Zhan J. and Alcantud, J.C.R. "A survey of parameter reduction of soft sets and corresponding algorithms", Artif. Intell. Rev., 52(3), pp. 1839-1872 (2019).
39. Peng, X. and Dai, J. "Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function", Neural Comput. Appl., 29(10), pp. 939-954 (2018).
40. Peng, X. and Dai, J. "Algorithms for interval neutrosophic multiple attribute decision-making based on MABAC, similarity measure, and EDAS", Int J. Uncertain. Quan., 7(5), pp. 395-421 (2017).
41. Liu, P. and Wang, P. "Multiple-attribute decisionmaking based on Archimedean Bonferroni operators of q-rung orthopair fuzzy numbers", IEEE Trans. Fuzzy Syst., 27(5), pp. 834-848 (2019).
42. Liu, P., Zhu, B., Wang, P., et al. "An approach based on linguistic spherical fuzzy sets for public evaluation of shared bicycles in China", Eng. Appl. Artif. Intell., 87, p. 103295 (2020).
43. Liu, P., Chen, S., and Wang, Y. "Multiattribute group decision making based on intuitionistic fuzzy partitioned Maclaurin symmetric mean operators", Inform. Sci., 512, pp. 830-854 (2020).
44. Liu, P. and Liu, W. "Bonferroni harmonic mean operators based on two-dimensional uncertain linguistic information and their applications in land utilization ratio evaluation", Sci. Iran., 26(2), pp. 975-995 (2019).
45. Liu, P. "Maclaurin symmetric means for linguistic Z-numbers and their application to multipleattribute decision making", Sci. Iran., 28(5), pp. 2910-2925 (2020). URL https://doi.org/10.24200/ SCI.2019.5307.1194.
46. Peng, X. "New operations for interval-valued Pythagorean fuzzy set", Sci. Iran., 26(2), pp.1049-1076 (2019).
47. Peng, X. and Selvachandran, G. "Pythagorean fuzzy set: state of the art and future directions", Artif. Intell. Rev., 52(3), pp. 1873-1927 (2019).
48. Wang, L. and Li, N. "Pythagorean fuzzy interaction power Bonferroni mean aggregation operators in multiple attribute decision making", Int. J. Intell. Syst., 35, pp. 150-183 (2020).
49. Lin, M., Wang, H., and Xu, Z. "TODIM-based multi-criteria decision-making method with hesitant fuzzy linguistic term sets", Artif. Intell. Rev., 53(5), pp. 3647-3671 (2020). URL https://doi.org/ 10.1007/s10462-019-09774-9.
Scientia Iranica
Volume 29, Issue 1
Transactions on Industrial Engineering (E)
January and February 2022
Pages 247-264

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