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FUZZIEEE
2007
IEEE
14 years 3 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
APSEC
2000
IEEE
14 years 1 months ago
Fuzzy concepts and formal methods: some illustrative examples
It has been recognised that formal methods are useful as a modelling tool in requirements engineering. Specification languages such as Z permit the precise and unambiguous modell...
Chris Matthews, Paul A. Swatman
DCOSS
2008
Springer
13 years 10 months ago
Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks
Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an act...
Mihai Marin-Perianu, Clemens Lombriser, Oliver Amf...
JCIT
2008
124views more  JCIT 2008»
13 years 9 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
FSS
2008
143views more  FSS 2008»
13 years 9 months ago
On the first place antitonicity in QL-implications
In order to obtain a demanded fuzzy implication, a number of properties have been proposed, among which the first place antitonicity, the second place monotonicity and the boundar...
Yun Shi, Bart Van Gasse, Da Ruan, Etienne E. Kerre