Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Engineering Applications of Artificial Intelligence
Type-2 fuzzy logic-based classifier fusion for support vector machines
Applied Soft Computing
General type-2 fuzzy classifiers to land cover classification
Proceedings of the 2008 ACM symposium on Applied computing
Type-2 fuzzy Gaussian mixture models
Pattern Recognition
Detection of hard cuts and gradual transitions from video using fuzzy logic
International Journal of Artificial Intelligence and Soft Computing
Interval type-2 fuzzy membership function generation methods for pattern recognition
Information Sciences: an International Journal
Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic
IEEE Transactions on Fuzzy Systems
Identification and control of time-varying plants using type-2 fuzzy neural system
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Interval type-2 fuzzy logic congestion control for video streaming across IP networks
IEEE Transactions on Fuzzy Systems
Robust interval type-2 possibilistic C-means clustering and its application for fuzzy modeling
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Comparative study of type-2 fuzzy sets and cloud model
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Review: Industrial applications of type-2 fuzzy sets and systems: A concise review
Computers in Industry
A type-2 fuzzy wavelet neural network for time series prediction
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy rule interpolation based on the ratio of fuzziness of interval type-2 fuzzy sets
Expert Systems with Applications: An International Journal
A fuzzy rule-based classification system using interval type-2 fuzzy sets
IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Gradient based fuzzy c-means algorithm with a mercer kernel
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Classification of MPEG VBR video data using gradient-based FCM with divergence measure
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Classification of MPEG video content using divergence measure with data covariance
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Overview of Type-2 Fuzzy Logic Systems
International Journal of Fuzzy System Applications
A new indirect approach to the type-2 fuzzy systems modeling and design
Information Sciences: an International Journal
The distance of probabilistic fuzzy sets for classification
Pattern Recognition Letters
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We present an approach for MPEG variable bit rate (VBR) video modeling and classification using fuzzy techniques. We demonstrate that a type-2 fuzzy membership function, i.e., a Gaussian MF with uncertain variance, is most appropriate to model the log-value of I/P/B frame sizes in MPEG VBR video. The fuzzy c-means (FCM) method is used to obtain the mean and standard deviation (std) of T/P/B frame sizes when the frame category is unknown. We propose to use type-2 fuzzy logic classifiers (FLCs) to classify video traffic using compressed data. Five fuzzy classifiers and a Bayesian classifier are designed for video traffic classification, and the fuzzy classifiers are compared against the Bayesian classifier. Simulation results show that a type-2 fuzzy classifier in which the input is modeled as a type-2 fuzzy set and antecedent membership functions are modeled as type-2 fuzzy sets performs the best of the five classifiers when the testing video product is not included in the training products and a steepest descent algorithm is used to tune its parameters