N.А. Korenevskiy - Dr.Sc. (Eng.), Professor, Head of Department of Biomedical Engineering, Southwestern State University, Kursk E-mail: kstu-bmi@yandex.ru V.V. Serebrovskiy - Dr.Sc. (Eng.), Professor, Department of Program Engineering, Southwestern State University, Kursk E-mail: kstu-bmi@yandex.ru K.V. Razumova - Post-graduate Student, Department of Biomedical Engineering, Southwestern State University, Kursk E-mail: kstu-bmi@yandex.ru I.I. Khripina - Post-graduate Student, Department of Biomedical Engineering, Southwestern State University, Kursk E-mail: kstu-bmi@yandex.ru

The paper proposes a method for the synthesis of hybrid fuzzy decision rules state assessment and controls of biotechnical systems. This method is characterized by vague and incomplete description of the test class with a significant area of their intersection in the space of informative features. It is shown that for sufficiently robust classification status of these systems it is advisable to use soft computing methodology of aggregation of fuzzy hybrid models in uniform groups of decision rules. This article is studyingthe conditions of usingthe fuzzy modifications group method, the measurement theory of latent variables, Wald-s sequential procedure, the conditions of separating hyperplanesand standardsin hybrid fuzzy classifiers and control problems. Showing examples of using the proposed synthesis strategy in medicine on problems of forecasting after operative complications in urology, forecasting and early diagnosis of heart disease; assess the level of emotional stress and fatigue; Forecasting, early and differential diagnosis of diseases caused by the influence of harmful environmental factors specific to the Kursk region, etc. For all the solution of social problems of confidence in the correct forecast is greater than the level of 0.85, and in the diagnosis of problems - the level of 0.9, which allows you to assign tasks practical implementation of the results already obtained and appropriate search for new directions of research.

 

1. Uskov A.A., Kuzmin A.V. Intellektualnye tekhnologii upravlenija. Iskusstvennye nejjronnye seti i nechetkaja logika. M.: Gorjachaja Linija - Telekom. 2004. 143 s.
2. Zadeh L.A. Advances in Fuzzy Mathematics and engineering: Fuzzy Sets and Fuzzy information - Granulation Theory. Beijin. Beijing NormalUniversity Press. 2005. 7 p.
3. Korenevskijj N.A. Ispolzovanie nechetkojj logiki prinjatija reshenijj dlja medicinskikh ehkspertnykh sistem // Medicinskaja tekhnika. 2015. № 1(289). S. 33-35.
4. Korenevskijj N.A., SHutkin A.N., Gorbatenko S.A., Serebrovskijj V.I. Ocenka i upravlenie sostojaniem zdorovja obuchajushhikhsja na osnove gibridnykh intellektualnykh tekhnologijj: Monografija. Staryjj Oskol: TNT. 2016. 472 s.
5. Korenevskijj N.A. Metod sinteza geterogennykh nechetkikh reshajushhikh pravil dlja analiza i upravlenija sostojaniem biotekhnicheskikh sistem //Izvestija JUgo-Zapadnogo gosudarstvennogo universiteta. Ser. Upravlenie, vychislitelnaja tekhnika, informatika. Medicinskoe priborostroenie. 2013. № 2. S. 99-103.
6. Korenevskijj N.A., Artemenko M.V., Provorotov V.JA., Novikov L.A. Metod sinteza nechjotkikh reshajushhikh pravil na osnove modelejj sistemnykh vzaimosvjazejj dlja reshenija zadach prognozirovanija i diagnostiki zabolevanijj // Sistemnyjj analiz i upravlenie v biomedicinskikh sistemakh. 2014. T. 13. № 4. S. 881-886.
7. Korenevskijj N.A., Degtjarev S.V., Seregin S.P., Novikov A.V. Interaktivnyjj metod klassifikacii v zadachakh medicinskojj diagnostiki // Medicinskaja tekhnika. 2013. № 4. S. 1-3.
8. Korenevskijj N.A., Filist S.A., Ustinov A.G., Rjabkova E.B. Geometricheskijj podkhod k sintezu nechetkikh reshajushhikh pravil dlja reshenija zadach prognozirovanija i medicinskojj diagnostiki // Biomedicinskaja radioehlektronika. 2012. № 4. S. 20-25.
9. Korenevskijj N.A. Bashir Abas Samakha, Gorbatenko S.A. Sintez gibridnykh nechetkikh pravil dlja prognozirovanija, ocenki i upravlenija sostojaniem zdorovja v ehkologicheski neblagoprijatnykh regionakh // Izvestija JUgo-Zapadnogo gosudarstvennogo universiteta. Ser. Upravlenie, vychislitelnaja tekhnika, informatika. Medicinskoe priborostroenie. 2013. № 4. S. 68-73.