13 maʼlumotlarni intellektual tahlillashning klassik modellarini tahlil qilish

15 
 
 
 
qabul qilishga ko‘maklashish tizimlarini ishlab chiqishda samarali usullar va algoritmlardan 
foydalanish muhim hisoblanadi. Bu ishda maʼlumotlar intellektual tahlilida mantiqiy tahlil, 
diskursiv tahlil, sentiment tahlil, zamonaviy neyron tarmoqlar, probabilistik tahlil, sun’iy 
neyron tarmoqlar, evolyusion algoritmlar va genetik algoritmlarning qanday qo‘llanilishi 
keltirib o‘tilgan. 
References: 
1.
Wu J, Chiclana F and Herrera-Viedma E 2015 Applied Soft Computing 35 827 
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R.A.Aliev, B.Fazlollahi, R.R.Aliev, "Soft Computing and its applications in business and 
economics", Springer, Berlin, Heidelberg, New York, 2004 
3.
Muhamediyeva D.T., Jurayev Z.Sh., Egamberdiyev N.A., Qualitative analysis of
mathematical models based on Z-number // Proceedings of the Joint International
Conference STEMM: Science – Technology – Education –Mathematics – Medicine. May 16-
17, 2019, Tashkent, pp.42-43. 
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Dilnoz Muhamediyeva, Nodir Egamberdiyev. An application of Gauss neutrosophic 
numbers in medical diagnosis // International Conference on Information Science and 
Communications 
Technologies: 
Applications, 
Trends 
and 
Opportunities 
http://www.icisct2021.org/ ICISCT 2021, November 3-5, 2021
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Egamberdiyev N.A., FUZZY REGRESSION ALGORITHM FOR CLASSIFICATION OF 
WEAKLY FORMED PROCESSES // SCIENCE AND PRACTICE: IMPLEMENTATION TO MODERN 
SOCIETY MANCHESTER, GREAT BRITAIN, 26-28.12.2020 
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D.Mukhamediyeva, N.Egamberdiev, ALGORITHM OF CLASSIFICATION OF MEDICAL 
OBJECTS ON THE BASIS OF NEUTROSOPHIC NUMBERS, Proceedings of the 4th International 
Scientific and Practical Conference SCIENCE, EDUCATION, INNOVATION: TOPICAL ISSUES 
AND MODERN ASPECTS TALLINN, ESTONIA, 4-5.10.2021, pp. 374-380. 
7.
Mukhamedieva D.T., Egamberdiev N.A., Zokirov J.Sh., Mathematical support for solving 
the classification problem using neural network algorithms // Turkish Journal of Computer 
and Mathematics Education. Vol.12 No.10 (2021) 
8.
D.T.Mukhamedieva and N.A.Egamberdiev, APPROACHES TO SOLVING OPTIMIZATION 
TASKS BASED ON NATURAL CALCULATION ALGORITHMS, Scientific-technical journal, 3(2) 
2020, pp. 58-67. 
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N.A.Egamberdiev, O.T.Xolmuminov, X.R.Ochilov, ANALYSIS OF CLASSICAL MODELS OF 
CLASSIFICATION OF SLOWLY FORMED PROCESSES, International Scientific-Online 
Conference: SOLUTION OF SOCIAL PROBLEMS IN MANAGEMENT AND ECONOMY”, Spain, 
October 7, 2022, pp.12-16.
10.
N.A.Egamberdiev, O.T.Xolmuminov, X.R.Ochilov, CHOOSING AN EFFICIENT ALGORITHM 
FOR SOLVING THE CLASSIFICATION PROBLEM, International Scientific Online Conference: 
THEORETICAL ASPECTS IN THE FORMATION OF PEDAGOGICAL SCIENCES, October 10, 
2022, pp.154-158.
11.
D.Muhamedieva, N.Egamberdiev, O.Xolmuminov, APPLICATION OF ARTIFICIAL 
INTELLIGENCE TECHNOLOGIES FOR CREDIT RISK ASSESSMENT, «Science and innovation» 
xalqaro ilmiy jurnali. 2022, 6-soni. 388-395 betlar. 
12.
D.Muhamediyeva, N.Egamberdiyev, An application of Gauss neutrosophic numbers in 
medical diagnosis, International Conference on Information Science and Communications 

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