A linguistic approach to time series modeling with the help of F-transform

Authors:
Martin Štěpnička;Antonín Dvořák;Viktor Pavliska;Lenka Vavříčková
Affiliations:
Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech Republic;Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech Republic;Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech Republic;Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech Republic
Venue:
Fuzzy Sets and Systems
Year:
2011

Citing 17
Cited 4

Time series: theory and methods

Time series: theory and methods
Fuzzy time series and its models

Fuzzy Sets and Systems
What are fuzzy rules and how to use them

Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
Fuzzy ARIMA model for forecasting the foreign exchange market

Fuzzy Sets and Systems
Time Series Analysis, Forecasting and Control

Time Series Analysis, Forecasting and Control
The concept of LFLC 2000: its specificity, realization and power of applications

Computers in Industry
Precisiated natural language (PNL)

AI Magazine
On the semantics of perception-based fuzzy logic deduction: Research Articles

International Journal of Intelligent Systems - Intelligent and Soft Computing Techniques for Information Processing
On approximate reasoning with graded rules

Fuzzy Sets and Systems
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences

Fuzzy Sets and Systems
A comprehensive theory of trichotomous evaluative linguistic expressions

Fuzzy Sets and Systems
A neural network approach to the fuzzy transform

Fuzzy Sets and Systems
Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation

Fuzzy Sets and Systems
Fuzzy transforms: Theory and applications

Fuzzy Sets and Systems
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction

Fuzzy Sets and Systems
Deterministic vector long-term forecasting for fuzzy time series

Fuzzy Sets and Systems
Continuity issues of the implicational interpretation of fuzzy rules

Fuzzy Sets and Systems

Why fuzzy transform is efficient in large-scale prediction problems: a theoretical explanation

Advances in Fuzzy Systems - Special issue on Fuzzy Functions, Relations, and Fuzzy Transforms: Theoretical Aspects and Applications to Fuzzy Systems
Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations

Expert Systems with Applications: An International Journal
Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble

Neurocomputing
Mining linguistic associations for emergent flood prediction adjustment

Advances in Fuzzy Systems - Special issue on Fuzzy Methods and Approximate Reasoning in Geographical Information Systems

Quantified Score

Hi-index	0.21

Visualization

Abstract

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.