Zadeh's Centenary
Keywords:
Zadeh, fuzzy sets, fuzzy logic, soft computing, centenaryAbstract
This is the introductory paper in a special issue on fuzzy logic dedicated to the centenary of the birth of Lotfi A. Zadeh published by International Journal of Computers Communications & Control (IJCCC). In 1965, Lotfi A. Zadeh published in the journal „Information and Control” the article titled „Fuzzy sets”, which today reaches over 117 thousand citations. The total sum of citations for all his papers is above 253 thousand. Based on the notion of fuzzy sets, fuzzy logic and the concept of soft computing emerged, bringing extremely important implications to the field of Artificial Intelligence (AI). In 2017, I published, whith F.G. Filip and M.J. Manolescu, a 42-page long paper in the IJCCC about the life and masterwork of Lotfi A. Zadeh, from which I will use some information in this material [15].
References
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[2] Ban, A.I., Coroianu, L. (2012). Nearest interval, triangular and trapezoidal approximation of a fuzzy number preserving ambiguity, International Journal of Approximate Reasoning, 53(5), 805-836, 2012. https://doi.org/10.1016/j.ijar.2012.02.001
[3] Bede, B. (2013). Mathematics of Fuzzy Sets and Fuzzy Logic, Book Series: Studies in Fuzziness and Soft Computing, 295, 1-276, 2013. https://doi.org/10.1007/978-3-642-35221-8_1
[4] Bede, B.; Gal, S.G. (2005). Generalizations of the differentiability of fuzzy-number-valued functions with applications to fuzzy differential equations, Fuzzy Setts and Systems, 151(3), 581-599, 2005. https://doi.org/10.1016/j.fss.2004.08.001
[5] Bellman R.E., Zadeh L.A. (1970). Decision making in a fuzzy environment, Management Science, 17, 141-164, 1970. https://doi.org/10.1287/mnsc.17.4.B141
[6] Benitez-Perez, H.; Cardenas-Flores, F.; Garcia-Nocetti, F. (2011). Reconfigurable Takagi- Sugeno Fuzzy Logic Control for a Class of Nonlinear System considering Communication Time Delays on Peripheral Elements, International Journal of Computers Communications & Control, 6(3), 387-402, 2011. https://doi.org/10.15837/ijccc.2011.3.2124
[7] Bologa, O.; Breaz, R.E.; Racz, S.G. (2015). A Fuzzy-based Decision Support Tool for Engineering Curriculum Design, International Journal of Computers Communications & Control, 10(6), 803-811, 2015. https://doi.org/10.15837/ijccc.2015.6.2071
[8] Butnariu, D. (1978). Fuzzy games. A description of the concept, Fuzzy Sets and Systems, 1, 181-192, 1978. https://doi.org/10.1016/0165-0114(78)90003-9
[9] Butnariu, D. (1979). Solution concepts for n-person fuzzy games, in M.M. Gupta et al. (eds), Advances in Fuzzy Sets. Theory and Applications North-Holland, Amsterdam, 339-359, 1979.
[10] Butnariu, D. (1982). Fixed-points for fuzzy mappings, Fuzzy Sets and Systems, 7(2), 191-207, 1982. https://doi.org/10.1016/0165-0114(82)90049-5
[11] Butnariu, D. (1983). Additive Fuzzy Measures and Integrals I, Journal of Mathematical Analysis and Applications, 93, 436-452, 1983. https://doi.org/10.1016/0022-247X(83)90186-5
[12] Du, Z.-B.; Lin, T.-C.; Zhao, T.-B. (2015). Fuzzy Robust Tracking Control for Uncertain Nonlinear Time-Delay System, International Journal of Computers Communications & Control, 10(6), 812-824, 2015. https://doi.org/10.15837/ijccc.2015.6.2072
[13] Dzitac, I. (2015). The Fuzzification of Classical Structures: A General View, International Journal of Computers Communications & Control, 10(6), 772-788, 2015. https://doi.org/10.15837/ijccc.2015.6.2069
[14] Dzitac, I. (2008). ICCCC 2008 & EWNLC 2008 Celebrates Bardeen's Centenary andWelcomes Professor Zadeh, International Journal of Computers Communications & Control, 3(Supplement: S), 16-25, 2008.
[15] Dzitac, I.; Filip, F.G.; Manolescu, M.J. (2017). Fuzzy logic is not fuzzy: World-renowned computer scientist Lotfi A. Zadeh, International Journal of Computers Communications & Control, 12(6), 748-789, 2017. https://doi.org/10.15837/ijccc.2017.6.3111
[16] Dzitac I., Vesselenyi T., Tarca R.C. (2011). Identification of ERD using Fuzzy Inference Systems for Brain-Computer Interface, International Journal of Computers Communications & Control, 6(3), 403-417, 2011. https://doi.org/10.15837/ijccc.2011.3.2126
[17] Dzitac, S.; Felea, I.; Dzitac, I.; Vesselenyi, T. (2008). An Application of Neuro-Fuzzy Modellingto Prediction of Some Incidence in an Electrical Energy Distribution Center,International Journal of Computers Communications & Control, 3(Supplement: S), 287-292, 2008.
[18] Dzitac, S.; Felea, I.; Dzitac, I., Vesselenyi, T. (2008). Neuro-Fuzzy Modeling of Event Predic-tion using Time Intervals as Independent Variables, in: L.A.Zadeh, Dan Tufis, F.G.Filip,I.Dzitac (Eds); From Natural Language to Soft Computing: New Paradigms in ArtificialIntelligence, Ed. House of Romanian Academy, 84-99, 2008.
[19] Felea, I.; Lolea, M.; Dzitac, S. (2019). A Fuzzy Approach for the Treatment of the Human Diseases Resulting from Exposure to Electromagnetic Fields, Studies in Informatics and Control, 28(3) 299-308, 2019. https://doi.org/10.24846/v28i3y201906
[20] Georgescu, G.; Popescu, A. (2004). Non-dual fuzzy connections, Archive for Mathematical Logic, 43(8), 1009-1039, 2004. https://doi.org/10.1007/s00153-004-0240-4
[21] Goguen, J. (1968). Categories of Fuzzy Sets: Applications of a Non-Cantorian Set Theory, Ph.D. Thesis. University of California at Berkeley, June 1968.
[22] Goguen, J. (1973). The Fuzzy Tychonoff theorem, J. of Math. Analysis and Applications, 43, 734-742, 1973. https://doi.org/10.1016/0022-247X(73)90288-6
[23] Goguen, J. (1967). L-Fuzzy sets, Journal of Mathematical Analysis and Applications, 18, 145- 174, 1967. https://doi.org/10.1016/0022-247X(67)90189-8
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