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A Bibliometric Analysis of Fuzzy Decision Research During 1970–2015

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Abstract

Fuzzy set just past its 50-year anniversary and different fuzzy associations and organizations hold different forms of conferences and activities to celebrate this epoch-making scientific discovery. As an important branch of fuzzy theory, fuzzy decision has attracted scholars from almost all fields from psychologists, economists, to computer scientists. In this paper, we conduct a bibliometric analysis on fuzzy decision-related research to find out some underlying patterns and dynamics in this research direction. A total of 13,901 fuzzy decision-related publication records from Web of Science are analyzed with the aid of the text-mining software Vantage Point. Many interesting results with regard to the annual trends, the top players in terms of country level, time dynamic as well as institutional level, the publishing journals, the highly cited papers, and the research landscape are yielded and explained in-depth. It is observed that some small or developing economies (such as China, Iran, Taiwan, and Turkey) are quite active in fuzzy decision research. The fuzzy decision theories and methods have increasingly be utilized in various fields evidenced by the growing number of disciplines involved in the fuzzy decision research.

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Notes

  1. Only 224 SCIE and SSCI categories were considered. Two newly added categories (Logic and Audiology & Speech–Language Pathology) were not included in the science overlay maps.

References

  1. Atanassov, K.T.: lntuitionistic fuzzy sets. In: Sgurev, V. (Ed.) VII ITKR’s Session (1983)

  2. Atanassov, K.T.: On Intuitionistic Fuzzy Sets Theory. Springer, New York (2012)

    Book  MATH  Google Scholar 

  3. Bellman, R.E., Zadeh, L.A.: Decision-making in a fuzzy environment. Manage. Sci. 17(4), 141–164 (1970)

    Article  MathSciNet  MATH  Google Scholar 

  4. Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I., Heynen, M.: Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS J. Photogramm. Remote Sens. 58(2004), 239–258 (2004)

    Article  Google Scholar 

  5. Bezdek, J.C.: Fuzzy models-What are they, and why? IEEE Trans. Fuzzy Syst. 1(1), 1–6 (1993)

    Article  MathSciNet  Google Scholar 

  6. Black, M.: Vagueness: an exercise in logical analysis. Philos. Sci. 4, 427–455 (1937)

    Article  Google Scholar 

  7. Chang, D.Y.: Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res. 95, 649–655 (1996)

    Article  MATH  Google Scholar 

  8. Chen, C.T.: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst. 114, 1–9 (2000)

    Article  MATH  Google Scholar 

  9. Chen, H.C., Roco, M.C., Son, J.B., Jiang, S., Larson, C.A., Gao, Q.: Global nanotechnology development from 1991 to 2012: patents, scientific publications, and effect of NSF funding. J. Nanopart. Res. 15(9), 1–21 (2013)

    Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  11. Hood, W.W., Wilson, C.S.: Analysis of the fuzzy set literature using phrases. Scientometrics 54(1), 103–118 (2002)

    Article  Google Scholar 

  12. Kumar, M., Vrat, P., Shankar, R.: A fuzzy goal programming approach for vendor selection problem in a supply chain. Comput. Ind. Eng. 46(1), 69–85 (2004)

    Article  Google Scholar 

  13. Leydesdorff, L., Carley, S., Rafols, I.: Global maps of science based on the new Web-of-Science categories. Scientometrics 94(2), 589–593 (2013)

    Article  Google Scholar 

  14. Li, Z.M., Xu, J.P., Lev, B., Gang, J.: Multi-criteria group individual research output evaluation based on context-free grammar judgments with assessing attitude. Omega 57, 282–293 (2015)

    Article  Google Scholar 

  15. Liao, H.C., Xu, Z.S.: A VIKOR-based method for hesitant fuzzy multi-criteria decision making. Fuzzy Optim. Decis. Making 12(4), 373–392 (2013)

    Article  MathSciNet  Google Scholar 

  16. Liao, H.C., Xu, Z.S.: Intuitionistic fuzzy hybrid weighted aggregation operators. Int. J. Intell. Syst. 29(11), 971–993 (2014)

    Article  Google Scholar 

  17. Liao, H.C., Xu, Z.S.: Priorities of intuitionistic fuzzy preference relation based on multiplicative consistency. IEEE Trans. Fuzzy Syst. 22(6), 1669–1681 (2014)

    Article  Google Scholar 

  18. Liao, H.C., Xu, Z.S., Xia, M.M.: Multiplicative consistency of hesitant fuzzy preference relation and its application in group decision making. Int. J. Inf. Technol. Decis. Mak. 13(1), 47–76 (2014)

    Article  Google Scholar 

  19. Liao, H.C., Xu, Z.S., Zeng, X.J.: Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making. Inf. Sci. 271, 125–142 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  20. Liao, H.C., Xu, Z.S.: Consistency of the fused intuitionistic fuzzy preference relation in group intuitionistic fuzzy analytic hierarchy process. Appl. Soft Comput. 35, 812–826 (2015)

    Article  Google Scholar 

  21. Liao, H.C., Xu, Z.S., Zeng, X.J., Merigó, J.M.: Framework of group decision making with intuitionistic fuzzy preference information. IEEE Trans. Fuzzy Syst. 23(4), 1211–1227 (2015)

    Article  Google Scholar 

  22. Liao, H.C., Xu, Z.S., Zeng, X.J.: Hesitant fuzzy linguistic VIKOR method and its application in qualitative multiple criteria decision making. IEEE Trans. Fuzzy Syst. 23(5), 1343–1355 (2015)

    Article  Google Scholar 

  23. Liao, H.C., Xu, Z.S., Zeng, X.J., Merigó, J.M.: Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets. Knowl. Based Syst. 76, 127–138 (2015)

    Article  Google Scholar 

  24. Lin, C.T., Lee, C.S.G.: Neural-network-based fuzzy-logic control and decision system. IEEE Trans. Comput. 40(12), 1320–1336 (1991)

    Article  MathSciNet  Google Scholar 

  25. Liu, W.: Comments on “a comparative analysis of scientific publications in management journals by authors from Mainland China, Hong Kong, Taiwan, and Macau: 2003–2012”. Scientometrics 106(3), 1269–1272 (2016)

    Article  Google Scholar 

  26. Liu, W., Gu, M., Hu, G., Li, C., Liao, H., Tang, L., et al.: Profile of developments in biomass-based bioenergy research: a 20-year perspective. Scientometrics 99(2), 507–521 (2014)

    Article  Google Scholar 

  27. Liu, W., Hu, G., Tang, L., Wang, Y.: China’s global growth in social science research: uncovering evidence from bibliometric analyses of SSCI publications (1978–2013). J. Inform. 9(3), 555–569 (2015)

    Article  Google Scholar 

  28. Liu, W., Li, Y.: The booming of open access publications in science. Curr. Sci. 109(7), 1221–1222 (2015)

    Google Scholar 

  29. Liu, W., Tang, L., Gu, M., Hu, G.: Feature report on China: a bibliometric analysis of China-related articles. Scientometrics 102(1), 503–517 (2015)

    Article  Google Scholar 

  30. Lukasiewicz, J.: Philosophical remarks on many-valued systems of propositional logic. reprinted in: Selected Works, ed. Borkowski, Studies in Logic and the Foundations of Mathematics. North-Holland, Amsterdam, 1970, 153–179 (1930)

  31. Mendel, J.M., Zadeh, L.A., Trillas, E., Yager, R., Lawry, J., Hagras, H., Guadarrama, S.: What computing with words means to me. IEEE Comput. Intell. Mag. 5, 20–26 (2010)

    Article  Google Scholar 

  32. Merigó, J.M., Cancino, A.C., Coronado, F., Urbano, D.: Academic research in innovation: a country analysis. Scientometrics 108(2), 559–593 (2016)

    Article  Google Scholar 

  33. Merigó, J.M., Gil-Lafuente, A.M., Yager, R.R.: An overview of fuzzy research with bibliometric indicators. Appl. Soft Comput. 27, 420–433 (2015)

    Article  Google Scholar 

  34. Merigó, J.M., Mas-Tur, A., Roig-Tierno, N., Ribeiro-Soriano, D.: A bibliometric overview of the Journal of Business Research between 1973 and 2014. J. Bus. Res. 68(12), 2645–2653 (2015)

    Article  Google Scholar 

  35. Merigó, J.M., Rocafort, A., Aznar-Alarcón, J.P.: Bibliometric overview of business & economics research. Journal of Business Economics and Management 17(3), 397–413 (2016)

    Article  Google Scholar 

  36. Reyna, V.F., Brainerd, C.J.: Fuzzy-trace theory: an interim synthesis. Learning and Individual Differences 7(1), 1–75 (1995)

    Article  Google Scholar 

  37. Rodríguez, R.M., Martínez, L., Herrera, F.: Hesitant fuzzy linguistic term sets for decision making. IEEE Trans. Fuzzy Syst. 1, 109–119 (2012)

    Article  Google Scholar 

  38. Rodríguez, R.M., Martínez, L., Torra, V., Xu, Z.S., Herrera, F.: Hesitant fuzzy sets: state of the art and future directions. Int. J. Intell. Syst. 29, 495–524 (2014)

    Article  Google Scholar 

  39. Russell, B.: Vagueness. Australas. J. Psychol. Philos. 1(2), 84–92 (1923)

    Article  Google Scholar 

  40. Saaty, T.L.: Axiomatic foundation of the analytic hierarchy process. Manage. Sci. 32, 841–845 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  41. Szmidt, E., Kacprzyk, J.: Distances between intuitionistic fuzzy sets. Fuzzy Sets Syst. 114, 505–518 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  42. Szmidt, E., Kacprzyk, J.: A consensus-reaching process under intuitionistic fuzzy preference relations. Int. J. Intell. Syst. 18, 837–852 (2003)

    Article  MATH  Google Scholar 

  43. Tanino, T.: Fuzzy preference orderings in group decision making. Fuzzy Sets Syst. 12, 117–131 (1984)

    Article  MathSciNet  MATH  Google Scholar 

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

    MATH  Google Scholar 

  45. Vaidya, O.S., Kumar, S.: Analytic hierarchy process: an overview of applications. Eur. J. Oper. Res. 169, 1–29 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  46. Wei, C.P., Zhao, N., Tang, X.J.: Operators and comparisons of hesitant fuzzy linguistic term sets. IEEE Trans. Fuzzy Syst. 22(3), 575–585 (2014)

    Article  Google Scholar 

  47. Xia, M.M., Xu, Z.S., Liao, H.C.: Preference relations based on intuitionistic multiplicative information. IEEE Trans. Fuzzy Syst. 21(1), 113–133 (2013)

    Article  Google Scholar 

  48. Xu, Z.S.: A survey of preference relations. Int. J. Gen Syst 36, 179–203 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  49. Xu, Z.S.: Intuitionistic preference relations and their application in group decision making. Inf. Sci. 177, 2363–2379 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  50. Xu, Z.S., Liao, H.C.: Intuitionistic fuzzy analytic hierarchy process. IEEE Trans. Fuzzy Syst. 22(4), 749–761 (2014)

    Article  Google Scholar 

  51. Xu, Z.S., Liao, H.C.: A survey of approaches to decision making with intuitionistic fuzzy preference relations. Knowl. Based Syst. 80, 131–142 (2015)

    Article  Google Scholar 

  52. Xu, Z.S., Zhao, N.: Information fusion for intuitionistic fuzzy decision making: an overview. Inf. Fusion 28, 10–23 (2016)

    Article  Google Scholar 

  53. Yager, R.R.: Pythagorean membership grades in multicriteria decision making. IEEE Trans. Fuzzy Syst. 22(4), 958–965 (2014)

    Article  Google Scholar 

  54. Yu, D.J.: A scientometrics review on aggregation operator research. Scientometrics 105(1), 115–133 (2015)

    Article  Google Scholar 

  55. Yu, D.J., Liao, H.C.: Visualization and quantitative research on intuitionistic fuzzy studies. J. Intell. Fuzzy Syst. 30, 3653–3663 (2016)

    Article  Google Scholar 

  56. Yu, D.J., Shi, S.S.: Researching the development of Atanassov intuitionistic fuzzy set: using a citation network analysis. Appl. Soft Comput. 32, 189–198 (2015)

    Article  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  58. Zadeh, L.A.: The concept of a linguistic variable and its applications to approximate reasoning-Part I. Inf. Sci. 8, 199–249 (1975)

    Article  MATH  Google Scholar 

  59. Zhu, B., Xu, Z.S.: Consistency measures for hesitant fuzzy linguistic preference relations. IEEE Trans. Fuzzy Syst. 22(1), 35–45 (2014)

    Article  Google Scholar 

  60. Zhu, B., Xu, Z.S., Xia, M.M.: Dual hesitant fuzzy sets. J. Appl. Math. 2012. Article ID 879629, 1–13 (2012)

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (#71501135), the China Postdoctoral Science Foundation (No. 2016T90863), the Scientific Research Foundation for Excellent Young Scholars at Sichuan University (No. 2016SCU04A23), the Scientific Research Foundation for Scholars at Sichuan University (No. 1082204112042), the Central University Basic Scientific Research Business Expenses Project (No. skqy201649), and the Sichuan Planning Project of Social Science (No. SC16TJ015).

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Liu, W., Liao, H. A Bibliometric Analysis of Fuzzy Decision Research During 1970–2015. Int. J. Fuzzy Syst. 19, 1–14 (2017). https://doi.org/10.1007/s40815-016-0272-z

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