DEVELOPMENT OF FUZZY REGRESSION HYBRID ALGORITHM
Keywords:
Regression, Fuzzy Logic, Fuzzy Regression, Hybrid Model
Abstract
This article introduces a novel Fuzzy Regression Hybrid Algorithm, combining fuzzy logic and regression techniques to enhance predictive modeling. The algorithm adeptly handles uncertainty and non-linearity, offering a robust solution for complex data relationships. Through empirical analysis, the algorithm's effectiveness is demonstrated across various domains, showcasing its potential for accurate predictions and informed decision-making. The Fuzzy Regression Hybrid Algorithm emerges as a valuable tool for tackling real-world challenges and advancing the field of data-driven modeling.
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2. Dilnoz Muhamediyeva, Nadir 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.
3. Kamilov M.M., Khujaev OK, Egamberdiev NA The method of applying the algorithm of calculating grades for finding similar diagnostics in medical information systems, International Journal of Innovative Technology and Exploring Engineering, 8-6S, pp. 722-724.
4. Muhamediyeva DT, Jurayev Z.Sh., Egamberdiyev NA, 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.
5. Egamberdiyev NA, FUZZY REGRESSION ALGORITHM FOR CLASSIFICATION OF WEAKLY FORMED PROCESSES // SCIENCE AND PRACTICE: IMPLEMENTATION TO MODERN SOCIETY MANCHESTER, GREAT BRITAIN, 26-28.12.2020.
6. 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 DT, Egamberdiev NA, 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. DTMukhamedieva and NAEgamberdiev, APPROACHES TO SOLVING OPTIMIZATION TASKS BASED ON NATURAL CALCULATION ALGORITHMS, Scientific-technical journal, 3(2) 2020, pp. 58-67.
9. NAEgamberdiev, OTXolmuminov, KhROchilov, 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. NAEgamberdiev, OTXolmuminov, Khrochilov, 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. Kholmuminov, APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR CREDIT RISK ASSESSMENT, "Science and innovation" international scientific journal. 2022, No. 6. Pages 388-395.
12. D. Muhamediyeva, N. Egamberdiyev, An application of Gauss neutrosophic numbers in medical diagnosis, International Conference on Information Science and Communications Technologies ICISCT 2021, Tashkent, Uzbekistan, 2021, pp. 1-4.
13. D. Muhamediyeva, N. Egamberdiyev, A. Bozorov, FORECASTING RISK OF NON-REDUCTION OF HARVEST, Proceedings of the 2nd International Scientific and Practical Conference, SCIENTIFIC COMMUNITY: INTERDISCIPLINARY RESEARCH, Hamburg, Germany, 26-28.01.2021, pp. 694-698.
14. F. Nuraliev, O. Narzulloev, N. Egamberdiev, S. Tastanova, V Mejdunarodnaya nauchno-prakticheskaya konferencija, RECENT SCIENTIFIC INVESTIGATION, Oslo, Norway, April 26-28, 2022, c. 447-451.
15. Mukhamedieva D.T., Egamberdiev N.A., Podkhody k resheniyu zadach optimizatsii na osnove algoritmov prirodnyx vychisleniy, Scientific and technical journal of Fergana Polytechnic Institute, 2020, Volume 24, No. 2, c. 75-84.
16. NAEgamberdiyev, MMKamilov, A.Sh. Hamroyev, Development of an algorithm for determining the system of dimensional fixed basis sets for educational selections, Muhammad al-Khorazmi Avlodali, 1(7) 2019, pp. 45-48.
17. Khojayev OQ, NAEgamberdiyev, Sh.N. Saidrasulov, Algorithm for choosing an effective method for solving the problem of classification, Information Communications: Networks, Technologies, Solutions. 1(49) 2019. Quarterly Scientific and Technical Journal, pp. 39-43.
Published
2023-08-17
How to Cite
Abdunazarovich, E. N., ogli, B. M. R., & ogli, T. Z. N. (2023). DEVELOPMENT OF FUZZY REGRESSION HYBRID ALGORITHM. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4(8), 63-69. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/499
Section
Articles
