Biomedical Engineering Reference
In-Depth Information
Mammals and Birds (pp. 92-103). San Diego:
Academic Press.
Classifiers, IEEE Conference on Fuzzy Systems ,
Vancouver, Canada, 1756-1762.
Yu, C-S., & Li, H-L. (2001). Method for solving
quasi-concave and non-cave fuzzy multi-objective
programming problems. Fuzzy Sets and Systems ,
122 (2), 205-227.
Dumitrescu, D., Lazzerini, B., & Jain, L. C. (2000).
Fuzzy Sets and their Application to Clustering
and Training , CRC Press.
Demicco, R.V., & Klir, G. J. (2004). Fuzzy Logic
in Geology , Elsevier.
Yuan, Y., & Shaw, M.J. (1995). Induction of
fuzzy decision trees. Fuzzy Sets and Systems ,
69 (2), 125-139.
Dubitzky, W., & Azuaje, F. (2004). Artificial Intel-
ligence Methods and Tools for Systems Biology ,
Springer.
Zadeh, L.A. (1965). Fuzzy Sets. Information and
Control , 8 (3), 338-353.
Haskell, R.E., Lee, C., & Hanna, D. M. (2004).
Geno-fuzzy classification trees, Pattern Recogni-
tion , 37(8), 1653-1659.
Zadeh, L. A. (1978). Fuzzy sets as a basis for a
theory of possibility. Fuzzy Sets and Systems , 1 ,
3-28.
Jafelice, R.M., De Barros, L.C., Bassanezi, R.C.,
& Gomide, F. (2004). Fuzzy Modeling in Symp-
tomatic HIV Virus Infected Population, Bulletin
of Mathematical Biology , 66 , 1597-1620.
ADDITIONAL READING
Abdel-Galil, T.K., Sharkawy, R.M., Salama,
M.M.A, & Bartnikas, R. (2005). Partial Discharge
Pattern Classification Using the Fuzzy Decision
Tree Approach, IEEE Transactions on Instrument
and Measurement , 54 (6), 2258-2263.
Kurgan, L. A., Stach, W., & Ruan, J. (2007).
Novel scales based on hydrophobicity indices for
secondary protein structure, Journal of Theoreti-
cal Biology , 248 (2), 354-366.
Nieto , J.J., Torres, A., Georgiou, D.N., & Karaka-
sidis, T.E. (2006). Fuzzy Polynucleotide Spaces
and Metrics, Bulletin of Mathematical Biology ,
68 , 703-725.
Adamo, J. M. (1980). Fuzzy Decision Trees, Fuzzy
Sets and Systems , 4 (3), 207-219.
Akay, M., Cohen, M., & Hudson, D. (1997). Fuzzy
Sets in Life Sciences, Fuzzy Sets and Systems ,
90 , 219-224.
Pedrycz, W., & Sosnowski, Z. A. (2005). C-Fuzzy
Decision Trees, IEEE Transactions on Systems,
Man and Cybernetics-Part C: Applications and
Reviews , 35 (4), 498-511
Chen, R.Y., Sheu, D.D., & Liu, C. M. (2007). Vague
Knowledge Search in the Design for Outsourc-
ing using Fuzzy Decision Tree, Computers and
Operations Research , 34 (12), 3628-3627.
Setzkorn, C. & Paton, R. C. (2005) On the use of
multi-objective evolutionary algorithms for the
induction of fuzzy classification rules systems,
BioSystems , 81 (2), 101-112.
Cohen, H., Zohar, J., Matar, M., Kaplan, Z, &
Geva, A. (2005). Unsupervised Clustering Analy-
sis Supports behavioural Cutoff Criteria in an
Animal Model of Postraumatic Stress Disorder,
Animal Psychiatry , 58 (8), 640-650.
Wang, X., Nauck, D.D., Spott, M., & Kruse, R.
(2007). Intelligent Data Analysis using Fuzzy
Decision Trees, Soft Computing , 11 (5), 439-457.
Crockett, K., Bandar, Z., & O'Shea, J. (2006).
On Producing Balanced Fuzzy decision Tree
Wolkenhauer, O. (2000). Fuzzy Relational Biol-
ogy: A Factor-Space Approach to genome Analy-
Search WWH ::




Custom Search