T.M. Ledeneva - Dr.Sc. (Eng.), Professor, Head of Department of Computational Mathematics and Information Technologies, Voronezh State University E-mail: ledeneva-tm@yandex.ru S.L. Podvalny - Dr.Sc. (Eng.), Professor, Head of Department of Automated and Computer Systems, Voronezh State Technical University E-mail: spodvalny@yandex.ru R.K. Stryukov - Post-graduate Student, Voronezh State University S.V. Degtyarev - Dr.Sc. (Eng.), Professor, Department of Program Engineering, Southwestern State University, Kursk E-mail: kstu-bmi@yandex.ru

Currently there is a significant amount of specialized expert systems to diagnose various diseases. By creation of such systems it is appropriate to use fuzzy modeling technique, which allows, on the one hand, to unify the design process and, on the other hand, to make good use of if-then rules forknowledge representation and formalization of highly qualified experts\' experience. This article considers design solutions for the fuzzy diagnostic systems\' developmentconcerning the main components\' selection of inferential mechanism, aggregation schemes and operations, methods forthe linguistic scalecreation. It is proposed to use a diagnostic tree for the rule base creation, which is the core of the fuzzy system. An algorithm for diagnostic tree building based on the training setwith the use of information analysis is introduced in this article. Based on the results of the research conducted we developed an expert system for the diagnosis of anemia on the blood parameters basis. For each indicator we created linguistic scale with the help of hematologist.This diagnostic tree can be used for optimization of rules\' amount in the database.

 

1. EHkspertnye sistemy [ehlektronnyjj resurs]. URL:http://www.arm-robotics.ru/hp/soft_3.asp
2. Bogomolov A.V., Gridin L.A., Kukushkin JU.A., Ushakov I.B. Diagnostika sostojanija cheloveka: Matematicheskie podkhody. M.: Medicina. 2003. 464 s.
3. Fokin V.A. Integralnaja ocenka sostojanija slozhnykh biomedicinskikh sistem // Vestnik nauki Sibiri. Ser. Medicina. 2011. № 1(1). S. 656-667.
4. Degtjarev S.V., Filist S.A., Djudin M.V. Mnogoagentnyjj podkhod postroenija sistemy intellektualnojj podderzhki prinjatija reshenijj analiza i klassifikacii fljuorogramm // Biomedicinskaja radioehlektronika. 2014. № 9. S. 17-20.
5. Korenevskijj N.A. Metod sinteza geterogennykh nechetkikh reshajushhikh pravil dlja analiza i upravlenija sostojaniem biotekhnicheskikh sistem // Izvestija JUgo-Zapadnogo universiteta. Ser. Upravlenie, vychislitelnaja tekhnika, informatika. Medicinskoe priborostroenie. 2013. № 2. S. 99-103.
6. Korenevskijj N.A., Razumova K.V. Sintez nechetkikh klassifikacionnykh pravil v mnogomernom prostranstve priznakov dlja medicinskikh prilozhenijj // Izvestija JUgo-Zapadnogo universiteta. Ser. Upravlenie, vychislitelnaja tekhnika, informatika. Medicinskoe priborostroenie. 2012. № 2. S. 223-227.
7. Djuk V., EHmmanuehl V. Informacionnye tekhnologii v mediko-biologicheskikh issledovanijakh. SPb.: Piter. 2003. 528 s.
8. Makarov D.A., Molodchenkov A.I. Sozdanie sistem priobretenija znanijj dlja postroenija medicinskikh ehkspertnykh sistem na osnove jadra programmno-instrumentalnykh sredstv «MEDEXP» // Informacionno-izmeritelnye i upravljajushhie sistemy. 2009. T. 7. № 12. S. 86-89.
9. Kiseleva T.V., Toropchina E.V. Analiz funkcionirovanija ehkspertnykh sistem diagnostiki zabolevanijj // Sistemy upravlenija i informacionnye tekhnologii. 2012. T. 49. № 3. S. 86-91.
10. Filist S.A., Tomakova R.A., Efremov M.A., SHatalova O.V. Gibridnye tekhnologii vydelenija medlennykh voln iz kvaziperiodicheskikh signalov // Izvestija JUgo-Zapadnogo gosudarstvennogo universiteta. 2011. № 1(34). S. 66-73.
11. SHennon K. Raboty po teorii informacii i kibernetike. M.: IL. 1963. 823 s.
12. Pegat A. Nechetkoe modelirovanie i upravlenie. M.: BINOM. Laboratorija znanijj. 2009. 798 s.
13. Ledeneva T.M. Obrabotka nechetkojj informacii. Voronezh: Izd-vo Voronezh. gos. un-ta. 2006. 232 s.
14. Podvalnyjj S.L. Koncepcija mnogoalternativnosti matematicheskogo obespechenija v intellektualnykh sistemakh upravlenija // Sistemy upravlenija i informacionnye tekhnologii. 2013. T. 54. № 4. S. 50-56.
15. Podvalnyjj S.L., Vasilev E.M. Mnogoalternativnoe upravlenie otkrytymi sistemami: koncepcija, sostojanie i perspektivy // Upravlenie bolshimi sistemami. 2014. № 48. S. 6-58.
16. Podvalny S.L., Ledeneva T.M. Intelligent Modelling Systems: Design Principles // Automation and Remote Control. 2013. V. 74. № 7. P. 1201-1210.
17. Ledeneva T.M., Moiseev S.A. Formalizacija svojjstv interpretiruemykh lingvisticheskikh shkal i termov nechetkikh modelejj // Prikladnaja informatika. 2012. № 4. S. 126-132.
18. Ledeneva T.M., Moiseev S.A. O probleme obespechenija nekotorykh trebovanijj k baze znanijj v nechetkikh sistemakh // Vestnik Voronezhskogo gosudarstvennogo universiteta. Ser. Sistemnyjj analiz i informacionnye tekhnologii. 2012. № 1. S. 149-156.
19. Ledeneva T.M. O, Gribovskijj A.V. Nechetkikh implikacijakh, poluchennykh obobshheniem bulevojj funkcii // Vestnik Voronezhskogo gosudarstvennogo universiteta. Ser. Matematika,  Fizika. 2003. № 2. S. 189-196.