350 rub
Journal Information-measuring and Control Systems №7 for 2016 г.
Article in number:
Application of fuzzy logic to object recognition of exploration and conditions of activity
Keywords: algorithm fuzzy sets fuzzy logic pattern recognition objects intelligence
Authors:
S.V. Kruglikov - Dr.Sc. (Military), OJSC - AGAT - Control Systems - (Minsk, Republic of Belarus). E-mail: ankru-26@yandex.ru A.S. Hvisevich - Post-graduate Student, Military Academy of the Republic of Belarus (Minsk, Republic of Belarus)
Abstract:
The expediency of applying the theory of fuzzy sets and a method of fuzzy logic for detection of targets (without opening sources) in addition to the method sequentially comparing characteristic values with signs standard descriptions, when the number of competing object recognition has decreased, and also to recognize the state of objects as the principal approach. The use of the above approach will: formalize and systematize the empirical knowledge gained from the experience of reconnaissance troops; use the experience of specialists in the field of the formalization of the initial data; take into account the measurement errors (evaluation) of various parameters (parameters, characteristics), considered as a sign of intelligence, by introducing membership functions and their adjustment; consider the information content of the identified features in the preparation of the fuzzy logic rules to display podzaklyucheny and their weights.
Pages: 28-37
References

 

  1. KHvisevich A.V. Analiz metodov kompleksirovanija informacionnykh potokov ot raznotipnykh istochnikov radioehlektronnojj razvedki: Dis. ... mag. tekhn. nauk: 20.02.12. Minsk. 2014. 86 s.
  2. Leonenkov A.V. Nechetkoe modelirovanie v srede MATLAB i fuzzyTECH. SPb.: BKHV Peterburg. 2005. 736 s.
  3. Zajjchenko JU.P. Nechetkie modeli i metody v intellektualnykh sistemakh. Kiev: Izdat. dom «Slovo». 2008. 344 s.
  4. SHtovba S.D. Proektirovanie nechetkikh sistem sredstvami MATLAB. M.: Gorjachaja linija - Telekom. 2007. 288 s.
  5. Andrejjchikov A.V., Andrejjchikova O.N. Intellektualnye informacionnye sistemy: Uchebnik. M.: Finansy i statistika. 2004. 424 s.
  6. Kaid V.A.A. Metody postroenija funkcijj prinadlezhnosti nechetkikh mnozhestv // Izv. JUFU. Tekhnicheskie nauki. 2013. № 2. S. 144-153.
  7. Sergienko M.A. Metody proektirovanija nechetkojj bazy znanijj // Vestnik VGU. 2008. № 2. S. 67-71.
  8. Doroshenko V.A., Druk L.V., Usachev M.S. Formirovanie sistemy nechetkogo logicheskogo vyvoda dlja sinteza raspredelennykh sistem upravlenija // Lesnojj Vestnik. 2012. № 2. S. 174-178.
  9. SHevri F., Geli F. Nechetkaja logika // Tekhn. kol. «SchneiderElectric». 2009. № 31. 30 s.
  10. Zgurovskijj M.Z., Zajjchenko JU.P. Kompleksnyjj analiz riska bankrotstva korporacijj v uslovijakh neopredelennosti. CH. 2 // Sistemnіdoslіdzhennja ta іnformacіjjnіtekhnologії. 2012. № 2. S. 111-124.