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» On interval fuzzy negations
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FOCI
2007
IEEE
14 years 4 months ago
Cardinality, Fuzziness, Variance and Skewness of Interval Type-2 Fuzzy Sets
Abstract— Centroid, cardinality, fuzziness, variance and skewness are all important concepts for an interval type-2 fuzzy set (IT2 FS) because they are all measures of uncertaint...
Jerry M. Mendel, Dongrui Wu
SGAI
2009
Springer
14 years 4 months ago
An Interval Type-2 Fuzzy Multiple Echelon Supply Chain Model
Planning resources for a supply chain is a major factor determining its success or failure. In this paper we build on previous work introducing an Interval Type-2 Fuzzy Logic mode...
Simon Miller, Robert John
EAAI
2007
101views more  EAAI 2007»
13 years 10 months ago
Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model
In the paper an application of the interval fuzzy model (INFUMO) in fault detection for nonlinear systems with uncertain intervaltype parameters is presented. A confidence band f...
Simon Oblak, Igor Skrjanc, Saso Blazic
DKE
2008
83views more  DKE 2008»
13 years 10 months ago
Mining fuzzy periodic association rules
We develop techniques for discovering patterns with periodicity in this work. Patterns with periodicity are those that occur at regular time intervals, and therefore there are two...
Wan-Jui Lee, Jung-Yi Jiang, Shie-Jue Lee
EUSFLAT
2003
125views Fuzzy Logic» more  EUSFLAT 2003»
13 years 11 months ago
On convex-concave perception based functions
Perception based function (PBF) is given by the set of rules Ri:“If X is Ti then Y is Si”, where Ti is a linguistic term describing some fuzzy intervals Ai on the domain of re...
Ildar Z. Batyrshin, Aleksandra Panova