A linguistic approach to time series modeling with the help of F-transform
In this paper, we describe an approach to modeling and forecasting time series that uses the theory of evaluative linguistic expressions, fuzzy/linguistic IF-THEN rules and the fuzzy transform method. We show that the use of a linguistic approach allows better readability and understandability without any significant deterioration in precision. (C) 2011 Elsevier B.V. All rights reserved.
time series forecasting fuzzy transform linguistic modeling perception-based logical deduction