BibTex RIS Kaynak Göster

Simulation of fuzzy adaptation of cognitive/learning styles to user navigation/presentation preferences by using MATLAB

Yıl 2014, Cilt: 4 Sayı: 1, 701 - 712, 01.06.2014

Öz

The purpose of this paper is to present a simulation methodology of a fuzzy adaptive interface in an environment of imperfect, multimodal, complex nonlinear hyper information space. A fuzzy adaptation of user’s information navigation and presentation preferences to cognitive/learning styles is simulated by using MATLAB. To this end, fuzzy if-then rules in natural language expressions are utilized. The important implications of this approach is that uncertain and vague information is handled and the design of human computer interaction system is facilitated with high level intelligence capability.

Kaynakça

  • Brusilovsky, P. (2001). Adaptive
  • Hypermedia. User Modelling and User- Adapted Interaction, 11(1/2), —110. Mobasher, B., & Anand, S. S. (2010). Intelligent techniques for
  • Web personalization, Retrieved November 3, 2010, from http://www.inf.unibz.it/~ricci/ATIS/ papers/itwp-v5.pdf,
  • Brusilovsky, P. (1996). Methods and techniques of adaptive hypermedia. User Modelling and User-Adapted Interaction, 6(2), 87-
  • Nikos, T., Panagiotis, G., Zacharias, L., Constantinous, M., & George, S. (2009). An assessment of human factors in adaptive hypermedia environments. In Sh.
  • Chen, G. Magoulas, (Eds) Adaptable and adaptive hypermedia systems (pp. 1—34). IGI Global. Timothy, M., Sherry, C., & Robert, M. (2010). Cognitive Styles and Adaptive Web-based Learning.
  • Retrieved October 12, 2010, from http://bura.brunel.ac.uk/handle/2438/ Witkin, H.A., Moore, C.A.,
  • Goodenough, D.R., & .Cox. P.W. (1977). Field-dependent and Field independent Cognitive Styles and Their Educational Implications.
  • Review of Educational Research, :164. Zadeh, L. (1975). The concept of a linguistic variable and its applications to approximate reasoning. Information sciences. Part , 8, 199-249, Part 2, 8 301--357, Part 3, 9, 43-80.
  • Zadeh, L.A. (1997) Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic.
  • Fuzzy Sets and Systems, 19, 111-127. Zimmerman (2001). Fuzzy set theory and its applications. Kluwer Academic Publishers. Mamdani, E.M. (1974).
  • Applications of fuzzy algorithms for simple dynamic plants. Proceedings of the IEEE, 21(2), (pp.1585-1588).
  • Takagi, T., and Sugeno, M. (1985) Fuzzy identification of systems and its applications to modelling and control, IEEE Trans. Syst., Man., Cyber., vol.SMC-15, (116-132).
Yıl 2014, Cilt: 4 Sayı: 1, 701 - 712, 01.06.2014

Öz

Kaynakça

  • Brusilovsky, P. (2001). Adaptive
  • Hypermedia. User Modelling and User- Adapted Interaction, 11(1/2), —110. Mobasher, B., & Anand, S. S. (2010). Intelligent techniques for
  • Web personalization, Retrieved November 3, 2010, from http://www.inf.unibz.it/~ricci/ATIS/ papers/itwp-v5.pdf,
  • Brusilovsky, P. (1996). Methods and techniques of adaptive hypermedia. User Modelling and User-Adapted Interaction, 6(2), 87-
  • Nikos, T., Panagiotis, G., Zacharias, L., Constantinous, M., & George, S. (2009). An assessment of human factors in adaptive hypermedia environments. In Sh.
  • Chen, G. Magoulas, (Eds) Adaptable and adaptive hypermedia systems (pp. 1—34). IGI Global. Timothy, M., Sherry, C., & Robert, M. (2010). Cognitive Styles and Adaptive Web-based Learning.
  • Retrieved October 12, 2010, from http://bura.brunel.ac.uk/handle/2438/ Witkin, H.A., Moore, C.A.,
  • Goodenough, D.R., & .Cox. P.W. (1977). Field-dependent and Field independent Cognitive Styles and Their Educational Implications.
  • Review of Educational Research, :164. Zadeh, L. (1975). The concept of a linguistic variable and its applications to approximate reasoning. Information sciences. Part , 8, 199-249, Part 2, 8 301--357, Part 3, 9, 43-80.
  • Zadeh, L.A. (1997) Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic.
  • Fuzzy Sets and Systems, 19, 111-127. Zimmerman (2001). Fuzzy set theory and its applications. Kluwer Academic Publishers. Mamdani, E.M. (1974).
  • Applications of fuzzy algorithms for simple dynamic plants. Proceedings of the IEEE, 21(2), (pp.1585-1588).
  • Takagi, T., and Sugeno, M. (1985) Fuzzy identification of systems and its applications to modelling and control, IEEE Trans. Syst., Man., Cyber., vol.SMC-15, (116-132).
Toplam 13 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA99RD53BH
Bölüm Makaleler
Yazarlar

Ilham N. Husyınov Bu kişi benim

Yayımlanma Tarihi 1 Haziran 2014
Yayımlandığı Sayı Yıl 2014 Cilt: 4 Sayı: 1

Kaynak Göster

APA Husyınov, I. N. (2014). Simulation of fuzzy adaptation of cognitive/learning styles to user navigation/presentation preferences by using MATLAB. International Journal of Electronics Mechanical and Mechatronics Engineering, 4(1), 701-712.