Mots-clés : composite index.
@article{VSPUI_2019_15_4_a8,
author = {A. B. Goncharova},
title = {Preliminary medical diagnostics based on the fuzzy sets theory using the {Sugeno} measure},
journal = {Vestnik Sankt-Peterburgskogo universiteta. Prikladna\^a matematika, informatika, processy upravleni\^a},
pages = {529--543},
year = {2019},
volume = {15},
number = {4},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/VSPUI_2019_15_4_a8/}
}
TY - JOUR AU - A. B. Goncharova TI - Preliminary medical diagnostics based on the fuzzy sets theory using the Sugeno measure JO - Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ PY - 2019 SP - 529 EP - 543 VL - 15 IS - 4 UR - http://geodesic.mathdoc.fr/item/VSPUI_2019_15_4_a8/ LA - ru ID - VSPUI_2019_15_4_a8 ER -
%0 Journal Article %A A. B. Goncharova %T Preliminary medical diagnostics based on the fuzzy sets theory using the Sugeno measure %J Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ %D 2019 %P 529-543 %V 15 %N 4 %U http://geodesic.mathdoc.fr/item/VSPUI_2019_15_4_a8/ %G ru %F VSPUI_2019_15_4_a8
A. B. Goncharova. Preliminary medical diagnostics based on the fuzzy sets theory using the Sugeno measure. Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 15 (2019) no. 4, pp. 529-543. http://geodesic.mathdoc.fr/item/VSPUI_2019_15_4_a8/
[1] A. I. Bogomolov, V. P. Nevezhin, G. A. Zhdanov, “Artificial intelligence and expert systems in mobile medicine”, Chronoeconomics, 2018, no. 3 (11), 17–28 (In Russian) | MR
[2] T. A. Rudenko, M. A. Vlasenko, “Fuzzy logic systems in the diagnosis of myocardial dissynchronization”, Scientific Journal “Science Rise”, 2015, no. 5, 52–61 | DOI
[3] D. V. Toneeva, A. B. Goncharova, “Expert system for diagnosing diseases”, EUROPEAN RESEARCH, Collection of articles by the winners of the VI International scientific and practical conference, Science and Education Publ., Penza, 2016, 34–38 (In Russian)
[4] L. A. Zadeh, “Fuzzy sets”, Information and Control, 8:3 (1965), 338–353 | DOI | MR | Zbl
[5] M. Sugeno, Theory of fuzzy integrals and its application, Doct. Thesis, Tokyo Institute of Technology, Tokyo, 1974, 50 pp.
[6] J. M. Keller, J. Osborn, “Training the fuzzy integral”, International Journal of Approximate Reasoning, 15:1 (1996), 1–24 | DOI | Zbl
[7] H. Tahani, J. M. Keller, “Information fusion in computer vision using the fuzzy integral”, IEEE Transactions on Systems, Man and Cybernetics, 20:3 (1990), 733–741 | DOI | MR
[8] A. N. Pavlov, B. V. Sokolov, Decision making in the conditions of fuzzy information, Textbook, SPbGUAP Publ, St. Petersburg, 2006, 72 pp. (In Russian)
[9] A. P. Ropshtein, S. D. Shtovba, “The reliability of a human operator using a fuzzy Sugeno knowledge base”, Automation and telemechanics, 2009, no. 1, 180–187 (In Russian)
[10] O. P. Soldatova, Yu. M. Shepelev, “Algorithm for minimizing the rule base of the fuzzy neural network Takagi–Sugeno–Kanga”, EUROPEAN RESEARCH, Collection of articles by the winners of the X International Scientific and Practical Conference, Science and Education Publ., Penza, 2017, 46–49 (In Russian)
[11] A. N. Pavlov, B. V. Sokolov, Methods for processing expert information, Textbook, SPbGUAP Publ, St. Petersburg, 2005, 34 pp. (In Russian)
[12] L. A. Korobova, T. V. Gladkikh, “Development of a decision making model for diagnosing diseases based on fuzzy logic”, Proceedings of VSUET, 80:4 (2018), 80–89 (In Russian) | DOI