EN
NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE
Abstract
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.
Keywords
References
- [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.
Details
Primary Language
English
Subjects
Electrical Engineering
Journal Section
Research Article
Publication Date
December 30, 2016
Submission Date
October 24, 2016
Acceptance Date
November 30, 2016
Published in Issue
Year 2016 Volume: 1 Number: 1
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. https://izlik.org/JA32ER79HJ
AMA
1.Ciftcioglu O, Bittermann MS. NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE. JCS. 2016;1(1):37-40. https://izlik.org/JA32ER79HJ
Chicago
Ciftcioglu, Ozer, and Michael S. Bittermann. 2016. “NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE”. The Journal of Cognitive Systems 1 (1): 37-40. https://izlik.org/JA32ER79HJ.
EndNote
Ciftcioglu O, Bittermann MS (December 1, 2016) NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE. The Journal of Cognitive Systems 1 1 37–40.
IEEE
[1]O. Ciftcioglu and M. S. Bittermann, “NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE”, JCS, vol. 1, no. 1, pp. 37–40, Dec. 2016, [Online]. Available: https://izlik.org/JA32ER79HJ
ISNAD
Ciftcioglu, Ozer - Bittermann, Michael S. “NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE”. The Journal of Cognitive Systems 1/1 (December 1, 2016): 37-40. https://izlik.org/JA32ER79HJ.
JAMA
1.Ciftcioglu O, Bittermann MS. NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE. JCS. 2016;1:37–40.
MLA
Ciftcioglu, Ozer, and Michael S. Bittermann. “NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE”. The Journal of Cognitive Systems, vol. 1, no. 1, Dec. 2016, pp. 37-40, https://izlik.org/JA32ER79HJ.
Vancouver
1.Ozer Ciftcioglu, Michael S. Bittermann. NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE. JCS [Internet]. 2016 Dec. 1;1(1):37-40. Available from: https://izlik.org/JA32ER79HJ