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NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE

Yıl 2016, Cilt: 1 Sayı: 1, 37 - 40, 30.12.2016

Öz

A note on the information-theoretic aspect of the fuzzy neural tree (FNT) is presented. The detailed description of the FNT is given in an earlier work, where its information-theoretic aspect is heuristically mentioned but not elaborated because of some space limitation. The present note is to highlight this aspect of the tree as this is important in working of the tree with its knowledge-driven structure.

Kaynakça

  • [1] Ö. Ciftcioglu and M. S. Bittermann, "A Fuzzy Neural Tree Based on Likelihood," presented at the 2015 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE 2015, Istanbul, Turkey, 2015.
  • [2] D. Dubois and H. Prade, "A semantics for possibility theory based on likelihoods," J. of Mathematical Analysis and Applications pp. 205, 359- 380, 1997.
  • [3] D. Dubois and H. Prade, "A semantics for possibility theory based on likelihoods," in Int. Joint Conf. of Fourth IEEE Int. Conf. on Fuzzy Systems and Second Int. Fuzzy Engineering Symposium - Fuzzy Systems 1995, Yokohama, Japan, 1995, pp. 1597-1604.
  • [4] A. Papoulis, Probability, Random Variables and Stochastic Processes. New York: McGraw-Hill, 1965.
  • [5] Y. Pawitan, In All Likelihood: Statistical Modelling and Inference Using Likelihood. New York: Clarendon Press Oxford, 2001.
  • [6] L. A. Zadeh, "Is there a need for fuzzy logic?," Information Sciences, vol. 178, pp. 2751-2779, 2008.
  • [7] Ö. Ciftcioglu and M. S. Bittermann, "Computational Cognitive Color Perception," presented at the IEEE World Congress on Computational Intelligence - WCCI 2016, Vancouver, Canada, 2016.
  • [8] O. Ciftcioglu and M. S. Bittermann, "Fuzzy Neural Tree in Evolutionary Computation for Architectural Design Cognition," in IEEE Congress on Evolutionary Computation - CEC 2015, Sendai, Japan, 2015, pp. 2319 -2326.
Yıl 2016, Cilt: 1 Sayı: 1, 37 - 40, 30.12.2016

Öz

Kaynakça

  • [1] Ö. Ciftcioglu and M. S. Bittermann, "A Fuzzy Neural Tree Based on Likelihood," presented at the 2015 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE 2015, Istanbul, Turkey, 2015.
  • [2] D. Dubois and H. Prade, "A semantics for possibility theory based on likelihoods," J. of Mathematical Analysis and Applications pp. 205, 359- 380, 1997.
  • [3] D. Dubois and H. Prade, "A semantics for possibility theory based on likelihoods," in Int. Joint Conf. of Fourth IEEE Int. Conf. on Fuzzy Systems and Second Int. Fuzzy Engineering Symposium - Fuzzy Systems 1995, Yokohama, Japan, 1995, pp. 1597-1604.
  • [4] A. Papoulis, Probability, Random Variables and Stochastic Processes. New York: McGraw-Hill, 1965.
  • [5] Y. Pawitan, In All Likelihood: Statistical Modelling and Inference Using Likelihood. New York: Clarendon Press Oxford, 2001.
  • [6] L. A. Zadeh, "Is there a need for fuzzy logic?," Information Sciences, vol. 178, pp. 2751-2779, 2008.
  • [7] Ö. Ciftcioglu and M. S. Bittermann, "Computational Cognitive Color Perception," presented at the IEEE World Congress on Computational Intelligence - WCCI 2016, Vancouver, Canada, 2016.
  • [8] O. Ciftcioglu and M. S. Bittermann, "Fuzzy Neural Tree in Evolutionary Computation for Architectural Design Cognition," in IEEE Congress on Evolutionary Computation - CEC 2015, Sendai, Japan, 2015, pp. 2319 -2326.
Toplam 8 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Elektrik Mühendisliği
Bölüm Articles
Yazarlar

Ozer Ciftcioglu Bu kişi benim

Michael S. Bittermann

Yayımlanma Tarihi 30 Aralık 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 1 Sayı: 1

Kaynak Göster

APA Ciftcioglu, O., & Bittermann, M. S. (2016). NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE. The Journal of Cognitive Systems, 1(1), 37-40.