Bibliometric Analysis of Fuzzy Logic Research in International Scientific Databases
Keywords:
Fuzzy Logic, Fuzzy Sets, bibliometrics analysis, WOS, VOS viewerAbstract
The purpose of this study is to explore the Web of Science Database (WOS) and review the significant contributions to the research of Fuzzy Logic or Fuzzy Sets theory from the beginning to the present. This study analyzes the most eminent authors, institutions, countries, and journals in Fuzzy Logic research by applying science mapping methods and bibliometric measures. Also, we paid attention to link strength and h-index to represent the visibility, influence, and link between the representative authors. Moreover, we added descriptive statistics to highlight strong linearity and a connection between fuzzy publications and Fuzzy Logic research. Also, we applied regression analyses and prevision functions to predict the evolution of the Fuzzy Logic topic.
The results showed a significant increase in the number of papers published annually in a portfolio of internationally representative journals. This leads us to the idea that Fuzzy Logic research is now a transdisciplinary topic that continually develops. Therefore, it can be found in more and more related areas such as artificial intelligence, IoT, medicine, economics, or the environment. Most of the results are consistent with other bibliometric studies. Still, some results are different, results related to the current cited works that show a polarization in the Asia area and the top journals that is continuously changing depending on the number of papers and the quotations of scientific personalities that publish. We used the VOS Viewer software to map the main trends in the field. The results indicate that the use of concepts has long exceeded traditional boundaries.
References
[2] Belman, R.E.; Zadeh, L.A. (1970). Decision-Making in a Fuzzy Environment. Management Science, 17(4), B141-164, 1970. https://doi.org/10.1287/mnsc.17.4.B141
[3] Bielecka, E. (2020). GIS Spatial Analysis Modeling for Land Use Change. A Bibliometric Analysis of the Intellectual Base and Trends. Geosciences, 10(11), 421, 2020. https://doi.org/10.3390/geosciences10110421
[4] Blanco-Mesa, F.; Merigó, J.M.; Gil-Lafuente, A.M. (2017). Fuzzy Decision Making: A Bibliometric-Based Review. Journal of Intelligent & Fuzzy Systems, 32(3), 2033-2050, 2017. https://doi.org/10.3233/JIFS-161640
[5] Carter, H. (1982). Fuzzy Sets and Systems - Theory and Applications. Journal of the Operational Research Society, 33(2), 198, 1982. https://doi.org/10.2307/2581310
[6] Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F. (2011). Science Mapping Software Tools: Review, Analysis, and Cooperative Study Among Tools. Journal of the American Society for information Science and Technology, 62(7), 1382-1402, 2011. https://doi.org/10.1002/asi.21525
[7] Dubois, D.; Prade, H. (1980). Fuzzy Sets and Systems: Theory and Applications. Academic Press. Mathematics in science and engineering, 1980.
[8] Garfield, E. Citation Indexing: Its Theory and Application in Science. Technology, and Humanities, 1st ed.; Wiley, New York, NY, USA, 1979, ISBN 978-0471025597.
[9] Garrido, A. (2012). A Brief History of Fuzzy Logic. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 3(1), 71-77, 2012, ISSN 2067-3957.
[10] Huang, X. (2007). Optimal Project Selection with Random Fuzzy Parameters. International journal of production economics, 106(2), 513-522, 2007. https://doi.org/10.1016/j.ijpe.2006.06.011
[11] Jang, J. S. (1993). ANFIS: adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665-685, 1993. https://doi.org/10.1109/21.256541
[12] Laengle, S.; Lobos, V.; Merigó, J.M.; Herrera-Viedma, E.; Cobo, M.J.; De Baets, B. (2020). Forty Years of Fuzzy Sets and Systems: A bibliometric analysis. Fuzzy Sets and Systems, 402, 155-183, 2020. https://doi.org/10.1016/j.fss.2020.03.012
[13] Li, Y.; Xu, Z.; Wang, X.; Filip, F.G. (2020). Studies in Informatics and Control: a Bibliometric Analysis from 2008 to 2019. International Journal of Computers Communications & Control, 14(6), 633-652, 2020. https://doi.org/10.15837/ijccc.2019.6.3753
[14] Liao, H.; Tang, M.; Zhang, X.; Al-Barakati, A. (2019). Detecting and Visualizing in the Field of Hesitant Fuzzy Sets: A Bibliometric Analysis from 2009 to 2018. International Journal Fuzzy System, 21, 1289-1305, 2019. https://doi.org/10.1007/s40815-019-00656-4
[15] Lin, M.; Chen, Y.; Chen, R. (2020). Bibliometric Analysis on Pythagorean Fuzzy Sets during 2013-2020. International Journal of Intelligent Computing & Cybernetics, 2020. https://doi.org/10.1108/IJICC-06-2020-0067
[16] López-Herrera, A.G.; Cobo, M.J.; Herrera-Viedma, E.; Herrera, F.; Bailón-Moreno, R.; Jiménez- Contreras, E. (2009). Visualization and Evolution of the Scientific Structure of Fuzzy Sets Research in Spain. Information Research, 14(4), 421, (2009).
[17] Mamdani, E. H.; Assilian, S. (1975). An experiment in linguistic synthesis with a Fuzzy Logic controller. International journal of man-machine studies, 7(1), 1-13, 1975. https://doi.org/10.1016/S0020-7373(75)80002-2
[18] Merigó J.M.; Gil-Lafuente, A.M.; Yager, R.R. (2015). An Overview of Fuzzy Research with Bibliometric Indicators. Applied Soft Computing, 27, 420-433, 2015. https://doi.org/10.1016/j.asoc.2014.10.035
[19] Moed, H.F. (2009). New Developments in the Use of Citation Analysis in Research Evaluation. Archivum immunologiae et therapiae experimentalis, 57(1), 13-18, 2009. https://doi.org/10.1007/s00005-009-0001-5
[20] Moher, D.; Liberati, A.; Tetzla, J., Altman D.G. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med, 6(7), 2009. https://doi.org/10.1371/journal.pmed.1000097
[21] Moher, D.; Shamseer, L.; Clarke, M.; Ghersi, D.; Liberati, A.; Petticrew, M.; Shekelle, P.; Stewart, L.A. (2015). Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015 statement. Syst Rev, 4(1), 1, 2015. https://doi.org/10.1186/2046-4053-4-1
[22] Ostasiewicz, W. (1982). A New Approach to Fuzzy Programming. Fuzzy Sets and Systems, 7(2), 139-152, 1982. https://doi.org/10.1016/0165-0114(82)90046-X
[23] Qilian, L.; Mendel, J.M. (2000). Interval type-2 Fuzzy Logic systems: theory and design. IEEE Transactions on Fuzzy systems 8.5, 1,535-550, 2000. https://doi.org/10.1109/91.873577
[24] Takagi, T.; Sugeno, M. (1985). Fuzzy Identification of Systems and Its Applications to Modelling and Control. IEEE Transactions on Systems, Man and Cybernetics, 15(1), 116-132, 1985. https://doi.org/10.1109/TSMC.1985.6313399
[25] Teodorescu, H.N.; Kandel, A.; Schneider, M. (1999). Fuzzy Modeling and Dynamics. Fuzzy Sets and Systems, 106(1), 1-2, 1999. https://doi.org/10.1016/S0165-0114(98)00352-2
[26] Terano, T.; Asai, K., Sugeno; M. (1994). Applied Fuzzy Systems. Academic Press, ISBN: 978- 012-6852424.
[27] Van Eck, N.J.; Waltman, L. (2013). VOSviewer Manual. Univeristeit Leiden, 1(1):1-53, 2013.
[28] Van Eck, N.J.; Waltman, L. (2014). Visualizing Bibliometric Networks. Measuring scholarly impact, Springer, Cham. Chapter, 285-320, 2014. https://doi.org/10.1007/978-3-319-10377-8_13
[29] Xu, Z.; Yu, D.; Wang, X. (2019). A Bibliometric Overview of International Journal of Machine Learning and Cybernetics between 2010 and 2017. International Journal Machine Learning & Cyber, 10(9), 2375-2387, 2019. https://doi.org/10.1007/s13042-018-0875-9
[30] Yazenin, A.V. (1987). Fuzzy and Stochastic Programming. Fuzzy Sets and Systems, 22(1-2), 171-180, 1987. https://doi.org/10.1016/0165-0114(87)90014-5
[31] Yu, D.; Xu, Z.; Martínez, L. (2020). Visualizing the Intellectual Structure of the Fuzzy Linguistic Knowledge Domain: A Bibliometric Analysis. International Journal Fuzzy Systems, 22, 2397-2413, 2020. https://doi.org/10.1007/s40815-020-00959-x
[32] Yu, D.; Xu, Z.; Wang, W. (2018). Bibliometric Analysis of Fuzzy Theory Research in China: A 30-year perspective. Knowledge-Based Systems, 141, 188-199, 2018. https://doi.org/10.1016/j.knosys.2017.11.018
[33] Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8(3), 338-353, 1965. https://doi.org/10.1016/S0019-9958(65)90241-X
[34] Zadeh, L.A. (1968). Fuzzy Algorithms. Information and Control, 12(2), 94-102, 1968. https://doi.org/10.1016/S0019-9958(68)90211-8
[35] Zadeh, L.A. (1971). Quantitative Fuzzy Semantics. Journal of Information Sciences, 3(2), 159- 176, 1971. https://doi.org/10.1016/S0020-0255(71)80004-X
[36] Zadeh, L.A. (1973). Outline of a New Approach to the Analysis of Complex Systems and Decision Processes. IEEE Transactions on Systems, Man, and Cybernetics, SMC-3(1), 28-44, 1973. https://doi.org/10.1109/TSMC.1973.5408575
[37] Zadeh, L.A. (1975). The Concept of a Linguistic Variable and its Application to Approximate Reasoning. Information Sciences, 8(3), 199-249, 1975. https://doi.org/10.1016/0020-0255(75)90036-5
[38] Zadeh, L.A. (1996). Fuzzy Logic - Computing with Words. IEEE Transactions on Fuzzy Systems, 4(2), 103-111, 1996. https://doi.org/10.1109/91.493904
[39] Zadeh, L.A. (2008). Is There a Need for Fuzzy Logic ?. Information sciences, 178(13), 2751-2779, 2008. https://doi.org/10.1109/NAFIPS.2008.4531354
Additional Files
Published
Issue
Section
License
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.
