Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially" fuzzy …
This book intends to provide a comprehensive overview on different aspects of mechanisms and techniques for information security. It is written for students, researchers, and …
Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated second edition of The …
In the development of digital multimedia, the importance and impact of image processing and mathematical morphology are well documented in areas ranging from automated vision …
CH Tsang, S Kwong, H Wang - Pattern Recognition, 2007 - Elsevier
Classification of intrusion attacks and normal network traffic is a challenging and critical problem in pattern recognition and network security. In this paper, we present a novel …
Y Chen, JZ Wang - IEEE Transactions on fuzzy systems, 2003 - ieeexplore.ieee.org
To design a fuzzy rule-based classification system (fuzzy classifier) with good generalization ability in a high dimensional feature space has been an active research topic for a long time …
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid …
KF Man, KS Tang - Proceedings of the IECON'97 23rd …, 1997 - ieeexplore.ieee.org
The practical application of genetic algorithms (GA) to the solution of engineering problems is a rapidly emerging approach in the field of control engineering and signal processing …
H Wang, S Kwong, Y Jin, W Wei, KF Man - Fuzzy sets and systems, 2005 - Elsevier
A new scheme based on multi-objective hierarchical genetic algorithm (MOHGA) is proposed to extract interpretable rule-based knowledge from data. The approach is derived …