Abstract
Publications on fuzzy set theory and its applications have grown exponentially. The increasing rate of developments in the field is a response to diverse factors, including the need for robust mathematical approaches that model human-like perceptions, values and decision-making processes in complex and dynamic systems. This study presents a citation analysis of 22 narrowly targeted fuzzy set theory journals with a focus on leading authors and research areas. In this paper, bibliometric tools are used for the treatment and analysis of a large amount of data retrieved from the rigorous Web of Science scientific database. The aim of the paper is to offer a general overview of the influence that fuzzy set theory has on academicians and diverse scientific fields. Its objective is to identify connections, trends and opportunities for synergies. The results of over 62,000 published documents, which represent more than 1,300,000 citations in the selected journals, show computer science and engineering as the top citing research fields and authors Xu, Pedrycz and Herrera as the top citing researchers.
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Chen, G., Pham, T.T.: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. CRC Press, Boca Raton (2000)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Mendel, J.M.: Fuzzy logic systems for engineering: a tutorial. Proc. IEEE 83, 345–377 (1995)
Kahraman, C., Çevik, S., Ates, N.Y., Gülbay, M.: Fuzzy multi-criteria evaluation of industrial robotic systems. Comput. Ind. Eng. 52, 414–433 (2007)
Wang, J., Hu, Y., Xiao, F., Deng, X., Deng, Y.: A novel method to use fuzzy soft sets in decision making based on ambiguity measure and Dempster-Shafer theory of evidence: An application in medical diagnosis. Artif. Intell. Med. 69, 1–11 (2016)
Fiss, P.C.: Building better causal theories: a fuzzy set approach to typologies in organization research. Acad. Manag. J. 54, 393–420 (2011)
Gil-Lafuente, A.M.: Fuzzy Logic in Financial Analysis. Springer, Berlin (2005)
Klir, G., Yuan, B.: Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall, Upper Saddle River (1995)
Merigó, J.M., Gil-Lafuente, A.M., Yager, R.R.: An overview of fuzzy research with bibliometric indicators. Appl. Soft Comput. J. 27, 420–433 (2015)
Ross, T.J.: Fuzzy Logic with Engineering Applications. Wiley, Hoboken (2010)
Zadeh, L.A.: Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 100, 9–34 (1999)
Bellman, R.E., Zadeh, L.A.: Decision-making in a fuzzy environment. Manage. Sci. 17, 141–273 (1970)
Mendel, J.: Type-2 fuzzy sets and systems: an overview [corrected reprint]. IEEE Comput. Intell. Mag. 2, 20–29 (2007)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning—I. Inf. Sci. (Ny) 8, 199–249 (1975)
Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Atanassov, K., Gargov, G.: Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31, 343–349 (1989)
Atanassov, K.T.: Interval-Valued Intuitionistic Fuzzy Sets. Springer International Publishing, Cham (2020)
Yager, R.R.: On the theory of bags. Int. J. Gen Syst 13, 23–37 (1986)
Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25, 529–539 (2010)
Yager, R.R.: Pythagorean fuzzy subsets. In: 2013 joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS). pp. 57–61, Edmonton, AB, Canada (2013)
Alfaro-García, V.G., Merigó, J.M., Alfaro Calderón, G.G., Plata-Pérez, L., Gil-Lafuente, A.M., Herrera-Viedma, E.: A citation analysis of fuzzy research by universities and countries. J. Intell. Fuzzy Syst. (2020). https://doi.org/10.3233/JIFS-179629
Yu, D., Xu, Z., Wang, W.: Bibliometric analysis of fuzzy theory research in China: a 30-year perspective. Knowledge-Based Syst. 141, 188–199 (2018)
López-Herrera, A.G., Cobo, M.J., Herrera-Viedma, E., Herrera, F., Bailón-Moreno, R., Jiménez-Contreras, E.: Visualization and evolution of the scientific structure of fuzzy sets research in Spain. Inf. Res. 14, 4 (2009)
Blanco-Mesa, F., Merigó, J.M., Gil-Lafuente, A.M.: Fuzzy decision making: a bibliometric-based review. J. Intell. Fuzzy Syst. 32, 2033–2050 (2017)
Yu, D., Li, D.-F., Merigó, J.M., Fang, L.: Mapping development of linguistic decision making studies. J. Intell. Fuzzy Syst. 30, 2727–2736 (2016)
Liu, W., Liao, H.: A bibliometric analysis of fuzzy decision research during 1970–2015. Int. J. Fuzzy Syst. 19, 1–14 (2017)
Kaya, İ., Çolak, M., Terzi, F.: A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making. Energy Strateg. Rev. 24, 207–228 (2019)
Chan, A.P.C., Chan, D.W.M., Yeung, J.F.Y.: Overview of the application of “fuzzy techniques” in construction management research. J. Constr. Eng. Manag. 135, 1241–1252 (2009)
Yazdanbakhsh, O., Dick, S.: A systematic review of complex fuzzy sets and logic. Fuzzy Sets Syst. 338, 1–22 (2018)
Ramot, D., Milo, R., Friedman, M., Kandel, A.: Complex fuzzy sets. IEEE Trans. Fuzzy Syst. 10, 171–186 (2002)
Ramot, D., Friedman, M., Langholz, G., Kandel, A.: Complex fuzzy logic. IEEE Trans. Fuzzy Syst. 11, 450–461 (2003)
Broadus, R.N.: Toward a definition of “bibliometrics”. Scientometrics 12, 373–379 (1987)
Pritchard, A.: Statistical bibliography or bibliometrics? J. Doc. 25, 348–349 (1969)
Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: An approach for detecting, quantifying, and visualizing the evolution of a research field: a practical application to the Fuzzy Sets Theory field. J. Informetr. 5, 146–166 (2011)
Cancino, C., Merigó, J.M., Coronado, F., Dessouky, Y., Dessouky, M.: Forty years of computers & industrial engineering: a bibliometric analysis. Comput. Ind. Eng. 113, 614–629 (2017)
Birkle, C., Pendlebury, D.A., Schnell, J., Adams, J.: Web of Science as a data source for research on scientific and scholarly activity. Quant. Sci. Stud. 1, 363–376 (2020)
Liu, W.: The data source of this study is Web of Science Core Collection? Not enough. Scientometrics. 121, 1815–1824 (2019)
Muhuri, P.K., Shukla, A.K., Janmaijaya, M., Basu, A.: Applied soft computing: a bibliometric analysis of the publications and citations during (2004–2016). Appl. Soft Comput. J. 69, 381–392 (2018)
Medsker, L.R.: Fuzzy logic and expert systems. Hybrid Intelligent Systems, pp. 95–105. Springer, US, Boston (1995)
Yu, D., Xu, Z., Wang, W.: A bibliometric analysis of Fuzzy Optimization and Decision Making (2002–2017). Fuzzy Optim. Decis. Mak. 18, 371–397 (2019)
Bezdek, J.C.: Fuzzy models—what are they, and why? Fuzzy Syst. IEEE Trans. 1, 1–6 (1993)
Yu, D., Xu, Z., Kao, Y., Lin, C.-T.: The structure and citation landscape of IEEE Transactions on Fuzzy Systems (1994–2015). IEEE Trans. Fuzzy Syst. 26, 430–442 (2018)
Bezdek, J., Keller, J., Pal, N., Lin, C.-T., Garibaldi, J.: Editorial celebrating 25 years of the IEEE Transactions on Fuzzy Systems. IEEE Trans. Fuzzy Syst. 26, 1–5 (2018)
Merigó, J.M., Pedrycz, W., Weber, R., de la Sotta, C.: Fifty years of information sciences: a bibliometric overview. Inf. Sci. (Ny) 432, 245–268 (2018)
Tang, M., Liao, H., Su, S.-F.: A bibliometric overview and visualization of the International Journal of Fuzzy Systems between 2007 and 2017. Int. J. Fuzzy Syst. 20, 1403–1422 (2018)
López-Herrera, A.G., Herrera-Viedma, E., Cobo, M.J., Martínez, M.A., Kou, G., Shi, Y.: A conceptual snapshot of the first decade (2002-2011) of the International Journal of Information Technology & Decision Making. Int. J. Inf. Technol. Decis. Mak. 11, 247–270 (2012)
Merigó, J.M., Blanco-Mesa, F., Gil-Lafuente, A.M., Yager, R.R.: Thirty years of the International Journal of Intelligent Systems: a bibliometric review. Int. J. Intell. Syst. 32, 526–554 (2017)
Wang, W., Laengle, S., Merigó, J.M., Yu, D., Herrera-Viedma, E., Cobo, M.J., Bouchon-Meunier, B.: A bibliometric analysis of the first twenty-five years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. Int. J. Uncertain. Fuzz. Knowl. Based Syst. 26, 169–193 (2018)
Cobo, M.J., Martínez, M.A., Gutiérrez-Salcedo, M., Fujita, H., Herrera-Viedma, E.: 25 years at knowledge-based systems: a bibliometric analysis. Knowl. Based Syst. 80, 3–13 (2015)
Merigó, J.M., Cobo, M.J., Laengle, S., Rivas, D., Herrera-Viedma, E.: Twenty years of soft computing: a bibliometric overview. Soft. Comput. 23, 1477–1497 (2019)
Zhu, J., Liu, W.: A tale of two databases: the use of Web of science and scopus in academic papers. Scientometrics 123, 321–335 (2020)
Liao, H., Tang, M., Zhang, X., Al-Barakati, A.: Detecting and visualizing in the field of hesitant fuzzy sets: a bibliometric analysis from 2009 to 2018. Int. J. Fuzzy Syst. 21, 1289–1305 (2019)
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The first author would like to thank the Mexican Council of Science and Technology (CONACYT) for the support given with the scholarship 740762 to repatriation projects. All the valuable comments given by the reviewers are also gratefully acknowledged.
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Alfaro-García, V.G., Merigó, J.M., Pedrycz, W. et al. Citation Analysis of Fuzzy Set Theory Journals: Bibliometric Insights About Authors and Research Areas. Int. J. Fuzzy Syst. 22, 2414–2448 (2020). https://doi.org/10.1007/s40815-020-00924-8
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DOI: https://doi.org/10.1007/s40815-020-00924-8