Fuzzy Systems in Bioinformatics and Computational Biology
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In...
Corporate Author: | SpringerLink (Online service) |
---|---|
Other Authors: | Jin, Yaochu. (Editor), Wang, Lipo. (Editor) |
Format: | Electronic |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
|
Series: | Studies in Fuzziness and Soft Computing,
242 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-89968-6 |
Similar Items
-
Bird's engineering mathematics /
by: Bird, J. O.,
Published: (2021) -
Systems engineering : principles and practice /
by: Kossiakoff, Alexander, 1914-2005,, et al.
Published: (2020) -
Satellite communications systems : systems, techniques and technology /
by: Maral, Gérard,, et al.
Published: (2020) -
Software Tools for the Simulation of Electrical Systems : Theory and Practice /
by: Kumar, L. Ashok,, et al.
Published: (2020) -
Electrical engineering : fundamentals /
by: Hacker, Viktor,, et al.
Published: (2020)