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Fuzzy Service classifier for QoS improvement
2009 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, 2009In this paper is introduced a FSC (Fuzzy Service Classification) algorithm. The algorithm adaptively changes weight coefficients that determine the amount of allowed bandwidth for each service class in the outputs of routers. New weight coefficients are calculated periodically on routers.
Frantti, Tapio, Jutila, Mirjami
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2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM, 2011
In this paper the structure of the track classifier based on the fussy logic is presented. The track classifier is a decision system, which allows determining whether the sequence of radar detections forming a track comes from the real target, or from other objects generating clutter.
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In this paper the structure of the track classifier based on the fussy logic is presented. The track classifier is a decision system, which allows determining whether the sequence of radar detections forming a track comes from the real target, or from other objects generating clutter.
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The fuzzy quadratic classifier
Proceedings of IEEE 5th International Fuzzy Systems, 2002In data rich environments, groups of data samples, or signals, can be summarized into trapezoidal fuzzy sets using order statistics. The data stream then appears as a sequence of fuzzy numbers, which are applied to a quadratic discriminant to yield fuzzy numbers that can be ordered to classify the signals.
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Hybrid-ensemble-based interpretable TSK fuzzy classifier for imbalanced data
Information Fusion, 2023Zekang Bian
exaly
2000
A fuzzy if-then system has n inputs (x = [x1, ... , x n ] T ϵ ℜ n ) and c outputs (y = [y1,...,y c ] T ϵ ℜ C ). Here are three popular acronyms for fuzzy (and also non-fuzzy) systems SISO. Single input —single output systems (n = c = 1). MISO. Multiple input —single output systems (n > 1, c = 1). MIMO.
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A fuzzy if-then system has n inputs (x = [x1, ... , x n ] T ϵ ℜ n ) and c outputs (y = [y1,...,y c ] T ϵ ℜ C ). Here are three popular acronyms for fuzzy (and also non-fuzzy) systems SISO. Single input —single output systems (n = c = 1). MISO. Multiple input —single output systems (n > 1, c = 1). MIMO.
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A new healthcare diagnosis system using an IoT-based fuzzy classifier with FPGA
Journal of Supercomputing, 2019Sambit Satpathy +3 more
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Maximum-Margin Fuzzy Classifiers
2010In conventional fuzzy classifiers, fuzzy rules are defined by experts. First, we divide the ranges of input variables into several nonoverlapping intervals. And for each interval, we define a membership function, which defines the degree to which the input value belongs to the interval.
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