pp. 1063-1074 | Article Number: iejme.2016.095
Published Online: July 29, 2016
Article Views: 402 | Article Download: 397
The purpose of the study is to elaborate and substantiate the algorithms of solving problems with the software implementation of algorithmic shell prompt withdrawal of precedent. Using the methods of literature’s theoretical analysis and mathematical modeling the authors determine mechanisms of withdrawal, based on precedents and examine matrix knowledge precedents. Furthermore, the research reveals the selection algorithm precedent under the supervision of situational vector quantitative coordinates. The practical value is that the submissions can be useful for solving the current problems with the functioning of the session of the general objectives anthropocentric object.
Keywords: İntelligent systems; anthropocentric object; operational output of precedent; improvement of on-board computers; software implementation of algorithmic shell
Fedosov, E. A. (2005) Systems fighter weapons control: the foundations of intelligence multipurpose aircraft. Russian Academy of Missile and Artillery Sciences. Moscow: Machinery. 399p.
Fedunov, B. (2005). The On-board Operative Advisory Expert Systems for Anthropocentric Object. Moscow: Machinery. 254p.
Fedunov, B. E. (1996) Problems developing on-board operational advising expert systems. Math. Russian Academy of Sciences. Tisa, 5, 42-55.
Fedunov, B. E. (1998) Constructive semantics to develop algorithms onboard intelligence anthropocentric objects. Math. Russian Academy of Sciences. Tisa, 5, 34-42.
Fedunov, B. E. (2002) Mechanisms of withdrawal in the knowledge base board promptly advising expert systems. Math. Russian Academy of Sciences. Tisa, 4, 134-139.
Fedunov, B. E. (2010) Intellectual support crew on board anthropocentric object. Mechatronics, Automation, Control, 2, 62-70.
Fedunov, B. E. (2011) Intelligent Systems for the System Generating Core of Anthropocentric Objects. Moscow: Machinery. 345p.
Fedunov, B. E. & Shestopalov, E. V. (2010) Shell board promptly advising of an expert system for a typical flight situation "Enter group dogfight". Math. RAS, Tisa, 3, 86-103.
Gribkov, V. F. & Fedunov, B. E. (2010) Onboard information intellectual system "Situational awareness crew combat aircraft". Proceedings of the VIII All-Russia Anniversary Conference "Problems of perfection of robotics and intelligent systems of aircrafts. Moscow: Mai-Print, 171-177.
Groumpos, P. P. (2013) A critical overview of decision support systems (DSS): Theories, approaches and challenges. In Proc. of the 15th Conference Workshop on Computer Science and Information Technologies, 123-128. Budapest: Akadémiai.
Kofman, A. (1982) Introduction to the theory of fuzzy sets. Moscow: Radio and Communications. 230p.
Rothstein, A. P. (1999) Intelligent identification technology. Vinnitsa: Universe. 322p.
Roudavski, S. & McCormack, J. (2016). Post-anthropocentric creativity. Digital Creativity, 27(1), 3-6.
Warsaw, P. R. & Eremeev, A. P. (2009) Simulation-Based Reasoning precedent in intellectual decision support systems. Magazine EIskusstvenny intelligence and decision-making, 2, 45-57.
Zadeh, L. A. (1976) The concept of a linguistic variable and its application to the adoption of approximate solutions. Moscow: Radio and Communications. 324p.
Zheltov, S. Y. & Fedunov, B. E. (2015). Operational goal setting in anthropocentric objects from the viewpoint of the conceptual model called Etap: I. Structures of algorithms for the support of crew decision-making. Journal of Computer and Systems Sciences International, 54(3), 384-398.
Zheltov, S. Y. & Fedunov, B. E. (2016). Operational goal setting in anthropocentric objects from the viewpoint of the conceptual model called Etap: II. Operation modes of the on-board real-time advisory expert system and its dialog with the crew. Journal of Computer and Systems Sciences International, 55(3), 380-393.