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Cross-Entropy and Prioritized Aggregation Operator with Simplified Neutrosophic Sets and Their Application in Multi-Criteria Decision-Making Problems

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Abstract

Simplified neutrosophic sets (SNSs) can effectively solve the uncertainty problems, especially those involving the indeterminate and inconsistent information. Considering the advantages of SNSs, a new approach for multi-criteria decision-making (MCDM) problems is developed under the simplified neutrosophic environment. First, the prioritized weighted average operator and prioritized weighted geometric operator for simplified neutrosophic numbers (SNNs) are defined, and the related theorems are also proved. Then two novel effective cross-entropy measures for SNSs are proposed, and their properties are proved as well. Furthermore, based on the proposed prioritized aggregation operators and cross-entropy measures, the ranking methods for SNSs are established in order to solve MCDM problems. Finally, a practical MCDM example for coping with supplier selection of an automotive company is used to demonstrate the effectiveness of the developed methods. Moreover, the same example-based comparison analysis of between the proposed methods and other existing methods is carried out.

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References

  1. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  2. Yager, R.R.: Multiple objective decision-making using fuzzy sets. Int. J. Man-Mach. Stud. 9(4), 375–382 (1997)

    Article  MATH  Google Scholar 

  3. Khatibi, V., Montazer, G.A.: Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition. Artif. Intell. Med. 47(1), 43–52 (2009)

    Article  Google Scholar 

  4. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  5. Gau, W.L., Buehrer, D.J.: Vague sets. IEEE Trans. Syst. Man Cybern. 23(2), 610–614 (1993)

    Article  MATH  Google Scholar 

  6. Liu, H.W., Wang, G.J.: Multi-criteria decision-making methods based on intuitionistic fuzzy sets. Eur. J. Oper. Res. 179(1), 200–233 (2007)

    Article  MATH  Google Scholar 

  7. Pei, Z., Zheng, L.: A novel approach to multi-attribute decision making based on intuitionistic fuzzy sets. Expert Syst. Appl. 39(3), 2560–2566 (2012)

    Article  Google Scholar 

  8. Yu, D.J.: Multi-criteria decision making based on generalized prioritized aggregation operators under intuitionistic fuzzy environment. Int. J. Fuzzy Syst. 15(1), 47–54 (2013)

    MathSciNet  Google Scholar 

  9. Tan, C.Q., Chen, X.H.: Dynamic similarity measures between intuitionistic fuzzy sets and its application. Int J Fuzzy Syst. 16(4), 511–519 (2014)

    MathSciNet  Google Scholar 

  10. Tao, Z.F., Chen, H.Y., Zhou, L.G., Liu, J.P.: A generalized multiple attributes group decision making approach based on intuitionistic fuzzy sets. Int. J. Fuzzy Syst. 16(2), 184–195 (2014)

    MathSciNet  Google Scholar 

  11. Wang, J.Q., Zhou, P., Li, K.J., Zhang, H.Y., Chen, X.H.: Multi-criteria decision-making method based on normal intuitionistic fuzzy-induced generalized aggregation operator. TOP 22, 1103–1122 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  12. Puri, J., Yadav, S.P.: Intuitionistic fuzzy data envelopment analysis: an application to the banking sector in India. Expert Syst. Appl. 42(11), 4982–4998 (2015)

    Article  Google Scholar 

  13. De, S.K., Biswas, R., Roy, A.R.: An application of intuitionistic fuzzy sets in medical diagnosis. Fuzzy Sets Syst. 117(2), 209–213 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  14. Shinoj, T.K., Sunil, J.J.: Intuitionistic fuzzy multisets and its application in medical diagnosis. Int. J. Math. Comput. Sci. 6, 34–37 (2012)

    Google Scholar 

  15. Vlachos, I.K., Sergiadis, G.D.: Intuitionistic fuzzy information–applications to pattern recognition. Pattern Recognit. Lett. 28(2), 197–206 (2007)

    Article  Google Scholar 

  16. Li, D.F., Cheng, C.T.: New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions. Pattern Recognit. Lett. 23(1), 221–225 (2002)

    MATH  Google Scholar 

  17. Joshi, B.P., Kumar, S.: Fuzzy time series model based on intuitionistic fuzzy sets for empirical research in stock market. Int. J. Appl. Evol. Comput. 3(4), 71–84 (2012)

    Article  Google Scholar 

  18. Li, L., Yang, J., Wu, W.: Intuitionistic fuzzy hopfield neural network and its stability. Neural Netw. World 21(5), 461–472 (2011)

    Article  MathSciNet  Google Scholar 

  19. Khatibi, V., Iranmanesh, H., Keramati, A.: A neuro-IFS intelligent system for marketing strategy selection. Innov. Comput. Technol. 241, 61–70 (2011)

    Article  Google Scholar 

  20. Atanassov, K.T., Gargov, G.: Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31(3), 343–349 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  21. Yue, Z., Jia, Y.: An application of soft computing technique in group decision making under interval-valued intuitionistic fuzzy environment. Appl. Soft Comput. 13(5), 2490–2503 (2013)

    Article  MathSciNet  Google Scholar 

  22. Yu, D.J., Merigó, J.M., Zhou, L.G.: Interval-valued multiplicative intuitionistic fuzzy preference relations. Int. J. Fuzzy Syst. 15(4), 412–422 (2013)

    MathSciNet  Google Scholar 

  23. Wang, J.Q., Han, Z.Q., Zhang, H.Y.: Multi-criteria group decision-making method based on intuitionistic interval fuzzy information. Group Decis. Negot. 23(4), 715–733 (2014)

    Article  Google Scholar 

  24. Wei, G.W.: Approaches to interval intuitionistic trapezoidal fuzzy multiple attribute decision making with incomplete weight information. Int. J. Fuzzy Syst. 17(3), 484–489 (2015)

    Article  MathSciNet  Google Scholar 

  25. De Miguel, L., Bustince, H., Fernandez, J., Induráin, E., Kolesárová, A., Mesiar, R.: Construction of admissible linear orders for interval-valued Atanassov intuitionistic fuzzy sets with an application to decision making. Inf. Fusion 27, 189–197 (2016)

    Article  Google Scholar 

  26. Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25(6), 529–539 (2010)

    MATH  Google Scholar 

  27. Chen, N., Xu, Z.S., Xia, M.M.: Interval-valued hesitant preference relations and their applications to group decision making. Knowl.-Based Syst. 37, 528–540 (2013)

    Article  MathSciNet  Google Scholar 

  28. Wang, J.Q., Wu, J.T., Wang, J., Zhang, H.Y., Chen, X.H.: Multi-criteria decision-making methods based on the Hausdorff distance of hesitant fuzzy linguistic numbers. Soft. Comput. 20(4), 1621–1633 (2016)

    Article  Google Scholar 

  29. Wang, J., Wang, J.Q., Zhang, H.Y., Chen, X.H.: Multi-criteria group decision-making approach based on 2-tuple linguistic aggregation operators with multi-hesitant fuzzy linguistic information. Int. J. Fuzzy Syst. 18(1), 81–97 (2016)

    Article  MathSciNet  Google Scholar 

  30. Zhou, H., Wang, J., Zhang, H.Y., Chen, X.H.: Linguistic hesitant fuzzy multi-criteria decision-making method based on evidential reasoning. Int. J. Syst. Sci. 47(2), 314–327 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  31. Wang, J., Wang, J.Q., Zhang, H.Y., Chen, X.H.: Multi-criteria decision-making based on hesitant fuzzy linguistic term sets: an outranking approach. Knowl.-Based Syst. 86, 224–236 (2015)

    Article  Google Scholar 

  32. Tian, Z.P., Wang, J., Wang, J.Q., Chen, X.H.: Multi-criteria decision-making approach based on gray linguistic weighted Bonferroni mean operator. Int. Trans. Oper. Res. (2015). doi:10.1111/itor.12220

    Google Scholar 

  33. Peng, J.J., Wang, J.Q., Wu, X.H., Zhang, H.Y., Chen, X.H.: The fuzzy cross-entropy for intuitionistic hesitant fuzzy sets and its application in multi-criteria decision-making. Int. J. Syst. Sci. 46(13), 2335–2350 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  34. Wang, H., Smarandache, F., Zhang, Y.Q., Sunderraman, R.: Single valued neutrosophic sets. Multispace Multistruct 4, 410–413 (2010)

    MATH  Google Scholar 

  35. Smarandache, F.: A unifying field in logics: neutrosophy: neutrosophic probability, set and logics. American Research Press, Rehoboth (1999)

    MATH  Google Scholar 

  36. Wang, H., Smarandache, F., Zhang, Y.Q., Sunderraman, R.: Interval neutrosophic sets and logic: theory and applications in computing. Hexis, Phoenix (2005)

    MATH  Google Scholar 

  37. Liu, P.D., Chu, Y.C., Li, Y.W., Chen, Y.B.: Some generalized neutrosophic number Hamacher aggregation operators and their application to group decision making. Int. J. Fuzzy Syst. 16(2), 242–255 (2014)

    Google Scholar 

  38. Liu, P.D., Li, H.G.: Multiple attribute decision-making method based on some normal neutrosophic Bonferroni mean operators. Neural Comput. Appl. (2015). doi:10.1007/s00521-015-2048-z

    Google Scholar 

  39. Maji, P.K.: Weighted neutrosophic soft sets approach in a multi-criteria decision making problem. J. New Theory 5, 1–12 (2015)

    Google Scholar 

  40. Peng, J.J., Wang, J.Q., Wu, X.H., Wang, J., Chen, X.H.: Multi-valued neutrosophic sets and power aggregation operators with their Applications in multi-criteria group decision-making problems. Int. J. Comput. Intell. Syst. 8(2), 345–363 (2015)

    Article  Google Scholar 

  41. Tian, Z.P., Wang, J., Zhang, H.Y., Chen, X.H., Wang, J.Q.: Simplified neutrosophic linguistic normalized weighted Bonferroni mean operator and its application to multi-criteria decision-making problems. Filomat (2015)

  42. Guo, Y.H., Şengür, A., Tian, J.W.: A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set. Comput. Methods Programs Biomed. 123, 43–53 (2016)

    Article  Google Scholar 

  43. Ye, J.: A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. J. Intell. Fuzzy Syst. 26(5), 2459–2466 (2014)

    MathSciNet  MATH  Google Scholar 

  44. Ye, J.: Single valued neutrosophic cross-entropy for multicriteria decision making problems. Appl. Math. Model. 38(3), 1170–1175 (2014)

    Article  MathSciNet  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  46. Tian, Z.P., Zhang, H.Y., Wang, J., Wang, J.Q., Chen, X.H.: Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets. Int. J. Syst. Sci. (2015). doi:10.1080/00207721.2015.1102359

    MATH  Google Scholar 

  47. Zhang, H.Y., Ji, P., Wang, J., Chen, X.H.: Improved weighted correlation coefficient based on integrated weight for interval neutrosophic sets and its application in multi-criteria decision making problems. Int. J. Comput. Intell. Syst. 8(6), 1027–1043 (2015)

    Article  Google Scholar 

  48. Zhang, H.Y., Wang, J., Chen, X.H.: An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets. Neural Comput. Appl. 27(3), 615–627 (2016)

    Article  Google Scholar 

  49. Ye, J.: Vector similarity measures of simplified neutrosophic sets and their application in multicriteria decision making. Intern. J. Fuzzy Syst. 16(2), 2204–2211 (2014)

    Google Scholar 

  50. Peng, J.J., Wang, J., Zhang, H.Y., Chen, X.H.: An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets. Appl. Soft Comput. 25, 336–346 (2014)

    Article  Google Scholar 

  51. Peng, J.J., Wang, J.Q., Wang, J., Zhang, H.Y., Chen, X.H.: Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. Int. J. Syst. Sci. 47(10), 2342–2358 (2016)

    Article  MATH  Google Scholar 

  52. Yager, R.R.: Prioritized aggregation operators. Int. J. Approx. Reason. 48, 263–274 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  53. Kullback, S.: Information theory and statistics. Wiley, New York (1959)

    MATH  Google Scholar 

  54. Shang, X.G., Jiang, W.S.: A note on fuzzy information measures. Pattern Recognit. Lett. 18, 425–432 (1997)

    Article  Google Scholar 

  55. Ho, W., Xu, X., Dey, P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur. J. Oper. Res. 202(1), 16–24 (2010)

    Article  MATH  Google Scholar 

  56. Boran, F.E.: A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Syst. Appl. 36(8), 11363–11368 (2009)

    Article  Google Scholar 

  57. Liu, P.D., Wang, Y.M.: Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean. Neural Comput. Appl. 25(7–8), 2001–2010 (2014)

    Article  Google Scholar 

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Acknowledgments

The author would like to thank the editors and the anonymous referees for their valuable and constructive comments and suggestions that greatly help the improvement of this paper. This work is supported by the National Natural Science Foundation of China (Nos 71571193, 71271218, and 71431006).

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Wu, Xh., Wang, Jq., Peng, Jj. et al. Cross-Entropy and Prioritized Aggregation Operator with Simplified Neutrosophic Sets and Their Application in Multi-Criteria Decision-Making Problems. Int. J. Fuzzy Syst. 18, 1104–1116 (2016). https://doi.org/10.1007/s40815-016-0180-2

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