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fuzzy time series and its models
Journal of the Korean Statistical Society.
Fuzzy Application Library/Technical. Statistics & Probability Letters.
Editorial: Fuzzy Models － What Are They, and Why? (J.C. Bezdek, IEEE Transactions on Fuzzy Systems, Vol. 1, No. 1, February 1993 － Edited by P.D.)
SCI2S (Soft Computing and Intelligent.
Journal of the Korean Statistical Society.
Editorial: Fuzzy Models What Are They, and Why?
Article#2 on Fuzzy Logic and Its Uses.
Everything You've Always Wanted to know About Designing Fuzzy Logic Machines But Were Afraid to Ask [Fuzzy Rules] [Fuzzy Control] [Case Study: Fuzzy Traffic Light
1. Fuzzy connectives. The standard set of truth degrees is the real interval [0,1] with its natural ordering ≤ (1 standing for absolute truth, 0 for absolute
Fuzzy logic systems Document Transcript. control-systems-principles.co.uk. Fuzzy Logic Systems
A modified area under the ROC curve and its application to marker selection and classification Original Research Article; Pages 161-175; WenBao Yu, Yuan-chin Ivan
SCI2S (Soft Computing and Intelligent. Fuzzy logic systems - SlideShare
fuzzy time series and its models
A Hybrid Fuzzy Time Series Model for ForecastingTime series - Wikipedia, the free.
Abstract: The use of genetic algorithms for designing fuzzy systems provides them with the learning and adaptation capabilities and is called genetic fuzzy systems
A time series is a sequence of data points, measured typically at successive points in time spaced at uniform time intervals. Examples of time series are the daily
as well as linguistic information related to them is available. Thus, fuzzy time series forecasting not only covers the statistical flavor but also the linguistic
This issue is In Progress but contains articles that are final and fully citable. For recently accepted articles, see Articles in Press.