Fuzzy Time Series Prediction Model and Application based on Fuzzy Inverse
نویسندگان
چکیده
منابع مشابه
Time Series Prediction by Perturbed Fuzzy Model
This paper presents a fuzzy system approach to the prediction of nonlinear time series and dynamical systems based on a fuzzy model that includes its derivative information. The underlying mechanism governing the time series, expressed as a set of IF–THEN rules, is discovered by a modified structure of fuzzy system in order to capture the temporal series and its temporal derivative information....
متن کاملInterpolating time series based on fuzzy cluster analysis problem
This study proposes the model for interpolating time series to use them to forecast effectively for future. This model is established based on the improved fuzzy clustering analysis problem, which is implemented by the Matlab procedure. The proposed model is illustrated by a data set and tested for many other datasets, especially for 3003 series in M3-Competition data. Comparing to the exist...
متن کاملTime Series Analysis and Prediction Based on Fuzzy Rules and the Fuzzy Transform
A new methodology for analysis and forecasting of time series is proposed. It directly employs two techniques: the fuzzy transform and the perception-based logical deduction. Due to the usage of both of them and due to the innovative approach consisting in a construction of several independent models, the methodology is successfully applicable for robust long time predictions. Keywords— Time se...
متن کاملchaotic time series prediction by auto fuzzy regression model
since the pioneering work of zadeh, fuzzy set theory has been applied to amyriad of areas. song and chissom introduced the concept of fuzzy time series andapplied some methods to the enrolments of the university of alabama. thereafter weapply fuzzy techniques for system identification and apply statistical techniques tomodelling system. an automatic methodology framework that combines fuzzytech...
متن کاملA Fuzzy-Grey Model for Non-stationary Time Series Prediction
In time series prediction, historical data are used as the basis of estimating future outcomes. Many methods including statistical predictive models and artificial intelligence (AI) based models have been proposed for time series prediction. When dealing with limited information, researchers tend to seek for AI-based approaches as statistical models require large samples to determine the underl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Signal Processing, Image Processing and Pattern Recognition
سال: 2015
ISSN: 2005-4254
DOI: 10.14257/ijsip.2015.8.10.14