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Some neutrosophic uncertain linguistic number Heronian mean operators and their application to multi-attribute group decision making

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Abstract

Heronian mean (HM) is a useful aggregation operator which can deal with the interrelations of the aggregated arguments, and the neutrosophic uncertain linguistic set is a good tool to express the incomplete, indeterminate, and inconsistent information. In this paper, we combine the HM and the neutrosophic uncertain linguistic set and propose some HM operators based on neutrosophic uncertain linguistic numbers. Firstly, we introduce some definition and properties of uncertain linguistic numbers, the single-valued neutrosophic set, and some HM operators including the generalized weighted Heronian mean operator, the improved generalized weighted Heronian mean operator, and the improved generalized geometric weighted Heronian mean operator. Then, we propose the single-valued neutrosophic uncertain linguistic set by combining the uncertain linguistic numbers and the single-valued neutrosophic set. Further, the neutrosophic uncertain linguistic number improved generalized weighted Heronian mean operator and the neutrosophic uncertain linguistic number improved generalized geometric weighted Heronian mean operator are developed, and the properties of them are analyzed. Furthermore, we develop the decision making methods for multi-attribute group decision making problems with neutrosophic uncertain linguistic information and give the detailed decision steps. At last, an illustrate example is given to show the process and the effectiveness of the decision-making method.

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References

  1. Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–356

    Article  MATH  Google Scholar 

  2. Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96

    Article  MATH  Google Scholar 

  3. Atanassov KT (1989) More on intuitionistic fuzzy sets. Fuzzy Sets Syst 33:37–46

    Article  MathSciNet  MATH  Google Scholar 

  4. Smarandache F (1998) A unifying field in logics. Neutrosophy: neutrosophic probability, set and logic. American Research Press, Rehoboth

    MATH  Google Scholar 

  5. Wang H, Smarandache F, Zhang Y, Sunderraman R (2005) Single valued neutrosophic sets. In: Proceedings of 10th 476 international conference on fuzzy theory and technology. Salt Lake City, Utah

  6. Ye J (2013) Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment. Int J Gen Syst 42(4):386–394

    Article  MathSciNet  MATH  Google Scholar 

  7. Wang H, Smarandache F, Zhang YQ et al (2005) Interval neutrosophic sets and logic: theory and applications in computing. Hexis, Phoenix

    MATH  Google Scholar 

  8. Ye J (2014) Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making. J Intell Fuzzy Syst 26(1):165–172

    MATH  Google Scholar 

  9. Wang JQ, Li JJ (2009) The multi-criteria group decision making method based on multi-granularity intuitionistic two semantics. Sci Technol Inf 33:8–9 (in Chinese)

    Google Scholar 

  10. Beliakov G, Pradera A, Calvo T (2007) Aggregation functions: a guide for practitioners. Springer, Berlin

    MATH  Google Scholar 

  11. Sykora S (2009) Mathematical means and averages: generalized Heronian means. Sykora S. Stan’s Library, Italy

    Google Scholar 

  12. Sykora S (2009) Generalized Heronian means II. Sykora S. Stan’s Library, Italy

    Google Scholar 

  13. Yu DJ, Wu YY (2012) Interval-valued intuitionistic fuzzy Heronian mean operators and their application in multi-criteria decision making. Afr J Bus Manag 6(11):4158–4168

    Google Scholar 

  14. Yu DJ (2013) Intuitionistic fuzzy geometric Heronian mean aggregation operators. Appl Soft Comput 13(2):1235–1246

    Article  Google Scholar 

  15. Liu PD (2014) Some Hamacher aggregation operators based on the interval-valued intuitionistic fuzzy numbers and their application to group decision making. IEEE Trans Fuzzy Syst 22(1):83–97

    Article  Google Scholar 

  16. Liu PD, Jin F (2012) The trapezoid fuzzy linguistic Bonferroni mean operators and their application to multiple attribute decision making. Sci Iran 19(6):1947–1959

    Article  MathSciNet  Google Scholar 

  17. Liu PD, Wang YM (2014) Multiple attribute decision making method based on single valued neutrosophic normalized weighted Bonferroni mean. Neural Comput Appl 25:2001–2010

    Article  Google Scholar 

  18. Liu PD, Wang YM (2014) Multiple attribute group decision making methods based on intuitionistic linguistic power generalized aggregation operators. Appl Soft Comput 17:90–104

    Article  Google Scholar 

  19. Liu PD, Liu Y (2014) An approach to multiple attribute group decision making based on intuitionistic trapezoidal fuzzy power generalized aggregation operator. Int J Comput Intell Syst 7:291–304

    Article  Google Scholar 

  20. Liu PD, Yu XC (2014) 2-Dimension uncertain linguistic power generalized weighted aggregation operator and its application for multiple attribute group decision making. Knowl Based Syst 57(1):69–80

    Article  Google Scholar 

  21. Liu PD, Chen YB, Chu YC (2014) Intuitionistic uncertain linguistic weighted Bonferroni OWA operator and its application to multiple attribute decision making. Cybern Syst 45:418–438

    Article  MATH  Google Scholar 

  22. Herrera F, Herrera Viedma E, Verdegay JL (1996) A model of consensus in group decision making under linguistic assessments. Fuzzy Sets Syst 79:73–87

    Article  MathSciNet  MATH  Google Scholar 

  23. Herrera F, Herrera Viedma E (2000) Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst 115:67–82

    Article  MathSciNet  MATH  Google Scholar 

  24. Liu PD, Jin F (2012) Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making. Inf Sci 205:58–71

    Article  MathSciNet  MATH  Google Scholar 

  25. Xu ZS (2004) Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment. Inf Sci 168:171–184

    Article  MATH  Google Scholar 

  26. Smarandache F, Vladareanu L (2011) Applications of neutrosophic logic to robotics—an introduction. In: 2011 IEEE international conference on granular computing, pp 607–612

  27. Liu HZ, Pei DW (2012) HOWA operator and its application to multi-attribute decision making. J Zhejiang Sci Technol Univ 25:138–142

    Google Scholar 

  28. Liu PD, Liu ZM, Zhang X (2014) Some intuitionistic uncertain linguistic Heronian mean operators and their application to group decision making. Appl Math Comput 230:570–586

    MathSciNet  Google Scholar 

  29. Chen YB, Liu PD (2014) Multi-attribute decision-making approach based on intuitionistic trapezoidal fuzzy generalized Heronian OWA operator. J Intell Fuzzy Syst 27:1381–1392

    MathSciNet  MATH  Google Scholar 

  30. Chu YC, Liu PD (2015) Some two-dimensional uncertain linguistic Heronian mean operators and their application in multiple-attribute decision making. Neural Comput Appl 26(6):1461–1480

    Article  Google Scholar 

  31. Broumi S, Smarandache F (2014) Single valued neutrosophic trapezoid linguistic aggregation operators based multi-attribute decision making. Bull Pure Appl Sci 33(2):135–155

    Google Scholar 

  32. Ye J (2014) Some aggregation operators of interval neutrosophic linguistic numbers for multiple attribute decision making. J Intell Fuzzy Syst 27:2231–2241

    MathSciNet  MATH  Google Scholar 

  33. Smarandache F (2015) Refined literal indeterminacy and the multiplication law of sub-indeterminacies. Neutrosophic Sets Syst 9:1–5

    Google Scholar 

Download references

Acknowledgments

This paper is supported by the National Natural Science Foundation of China (Nos. 71471172 and 71271124), the Special Funds of Taishan Scholars Project, National Soft Science Project of China (2014GXQ4D192), the Humanities and Social Sciences Research Project of Ministry of Education of China (No. 13YJC630104), and Shandong Provincial Social Science Planning Project (Nos. 11CGLJ02 and 15BGLJ06).

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Correspondence to Peide Liu.

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Liu, P., Shi, L. Some neutrosophic uncertain linguistic number Heronian mean operators and their application to multi-attribute group decision making. Neural Comput & Applic 28, 1079–1093 (2017). https://doi.org/10.1007/s00521-015-2122-6

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