Skip to main content
Top
Published in:
Cover of the book

2016 | OriginalPaper | Chapter

Software Implementation Methodology of Intelligent Information Systems of Learning and Knowledge Control (IISLKC)

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this paper, research work allows making a statement which can be formulated as complex of models and methods. These models and methods are able to take on the function of whole intellectual complex which carries out the function of teaching and process of control knowledge with the minimal participation of teacher and education institutions.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Shahbazova, Sh., Freisleben, B.: Network-based intellectual information system for learning and testing. In: Fourth International Conference on Application of Fuzzy Systems and Soft Computing, pp. 308–313. Siegen, Germany (2000) Shahbazova, Sh., Freisleben, B.: Network-based intellectual information system for learning and testing. In: Fourth International Conference on Application of Fuzzy Systems and Soft Computing, pp. 308–313. Siegen, Germany (2000)
2.
go back to reference Shahbazova, Sh.: Development of the knowledge base learning system for distance education. Int. J. Intell. Syst. 27(4), 343–354 (2012) Shahbazova, Sh.: Development of the knowledge base learning system for distance education. Int. J. Intell. Syst. 27(4), 343–354 (2012)
3.
go back to reference Shahbazova, Sh.: Applied research in the field of automation of learning and knowledge control. In: Studies in Fuzziness and Soft Computing, Soft Computing: State of the Art Theory and Novel Application, pp. 223–240 (2012) Shahbazova, Sh.: Applied research in the field of automation of learning and knowledge control. In: Studies in Fuzziness and Soft Computing, Soft Computing: State of the Art Theory and Novel Application, pp. 223–240 (2012)
4.
go back to reference Shahbazova, Sh.: Application of fuzzy sets for control of student knowledge, ISSN 1683-3511. Appl. Comput. Math. Int. J. 10(1), Special Issue on Fuzzy Set Theory and Applications. 195–208 (2011) Shahbazova, Sh.: Application of fuzzy sets for control of student knowledge, ISSN 1683-3511. Appl. Comput. Math. Int. J. 10(1), Special Issue on Fuzzy Set Theory and Applications. 195–208 (2011)
5.
go back to reference Bouchon-Meunier, B., Yager, R.R.: Fuzzy Logic and Soft Computing (Advances in Fuzzy Systems: Application and Theory), pp. 84–93, 103–119. World Scientific, Singapore (1995) Bouchon-Meunier, B., Yager, R.R.: Fuzzy Logic and Soft Computing (Advances in Fuzzy Systems: Application and Theory), pp. 84–93, 103–119. World Scientific, Singapore (1995)
6.
go back to reference Jang, J.S.R., Sun, C.-T.: Neuro-Fuzzy modeling and control. Proc. IEEE 83(3), 378–406 (1997) Jang, J.S.R., Sun, C.-T.: Neuro-Fuzzy modeling and control. Proc. IEEE 83(3), 378–406 (1997)
7.
go back to reference Badami, Chiang, Khedkar, Marcelle, Schutten: Industrial Applications of Fuzzy Logic at General Electric. Bonissone Proc. IEEE 83(3), 450–465 (1995) Badami, Chiang, Khedkar, Marcelle, Schutten: Industrial Applications of Fuzzy Logic at General Electric. Bonissone Proc. IEEE 83(3), 450–465 (1995)
8.
go back to reference Barsky, A.B.: Neural networks: recognition, management, decision-making. In Finance and Statistics, pp. 30–63. Moscow (2004) Barsky, A.B.: Neural networks: recognition, management, decision-making. In Finance and Statistics, pp. 30–63. Moscow (2004)
9.
go back to reference Gorbunova, L.G.: On the realization of the rating system in pedagogical high schools. In: Proceedings of 2 International Technical Conference, University Education, Penza, Part 1. pp. 105–106 (1998) Gorbunova, L.G.: On the realization of the rating system in pedagogical high schools. In: Proceedings of 2 International Technical Conference, University Education, Penza, Part 1. pp. 105–106 (1998)
10.
go back to reference Hanss, M.: Applied Fuzzy Arithmetic: An Introduction with Engineering Applications, 1 edn, pp. 100–116, 139–147. Springer, Berlin (2004) Hanss, M.: Applied Fuzzy Arithmetic: An Introduction with Engineering Applications, 1 edn, pp. 100–116, 139–147. Springer, Berlin (2004)
11.
go back to reference Bernshteyn, L.S., Bojenyuk, A.V.: Fuzzy Models of Decision Making: Deduction, Induction, Analogy, pp. 78–99. University Tsure, Taganrog (2001) Bernshteyn, L.S., Bojenyuk, A.V.: Fuzzy Models of Decision Making: Deduction, Induction, Analogy, pp. 78–99. University Tsure, Taganrog (2001)
12.
go back to reference Bellman, R., Zadeh, L.A.: Decision-Making in Ambiguous Circumstances, Issues Analysis and Decision-Making, pp. 180–199. Springer, Berlin (1976) Bellman, R., Zadeh, L.A.: Decision-Making in Ambiguous Circumstances, Issues Analysis and Decision-Making, pp. 180–199. Springer, Berlin (1976)
13.
go back to reference Yager, R., Filev, D. Essentials of Fuzzy Modeling and Control. Wiley, New York (1994) Yager, R., Filev, D. Essentials of Fuzzy Modeling and Control. Wiley, New York (1994)
14.
go back to reference Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty, First Printing edition, pp. 75–84. Wiley-Interscience, Hoboken (1992) Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty, First Printing edition, pp. 75–84. Wiley-Interscience, Hoboken (1992)
15.
go back to reference Zadeh, L.A.: A new approach to the analysis of difficulty systems and decision processes. Math. Today Knowl. 23–37 (1974) Zadeh, L.A.: A new approach to the analysis of difficulty systems and decision processes. Math. Today Knowl. 23–37 (1974)
16.
go back to reference Zadeh, L.A., Klir, G.J., Yuan, B.: Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers by Lotfi A. Zadeh, pp. 60–69. World Scientific, Singapore (1996) Zadeh, L.A., Klir, G.J., Yuan, B.: Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers by Lotfi A. Zadeh, pp. 60–69. World Scientific, Singapore (1996)
Metadata
Title
Software Implementation Methodology of Intelligent Information Systems of Learning and Knowledge Control (IISLKC)
Authors
Ali M. Abbasov
Shahnaz N. Shahbazova
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-32229-2_1

Premium Partner