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

DOI10.1016/j.fss.2011.02.017zbMath1239.62111OpenAlexW2091011578MaRDI QIDQ429381

Lenka Vavříčková, Viktor Pavliska, Martin Štěpnička, Antonín Dvořák

Publication date: 19 June 2012

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2011.02.017

zbMATH Keywords

time seriesforecastingfuzzy transformlinguistic modelingperception-based logical deduction

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Computing methodologies and applications (68U99) Inference from stochastic processes and fuzziness (62M86)

Related Items (10)

Time series analysis using soft computing methods ⋮ Lattice fuzzy transforms from the perspective of mathematical morphology ⋮ A linguistic approach to time series modeling with the help of F-transform ⋮ A hybrid method based on \(F\)-transform for robust estimators ⋮ Properties of fuzzy transform obtained from \(L_p\) minimization and a connection with Zadeh's extension principle ⋮ On redundancies in systems of fuzzy/linguistic IF-THEN rules under perception-based logical deduction inference ⋮ Necessary and sufficient conditions for generalized uniform fuzzy partitions ⋮ Fuzzy Rule-Based Ensemble Forecasting: Introductory Study ⋮ Forecasting seasonal time series based on fuzzy techniques ⋮ Fuzzy four-fold tables: their properties and use in fuzzy association analysis

Uses Software

• TDSL
• LFLC 2000
• TSDL

Cites Work

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• A linguistic approach to time series modeling with the help of F-transform
• Linguistically oriented fuzzy logic control and its design
• A comprehensive theory of trichotomous evaluative linguistic expressions
• Logical structure of fuzzy IF-THEN rules
• On approximate reasoning with graded rules
• Deterministic vector long-term forecasting for fuzzy time series
• Continuity issues of the implicational interpretation of fuzzy rules
• A neural network approach to the fuzzy transform
• The concept of a linguistic variable and its application to approximate reasoning. I
• What are fuzzy rules and how to use them
• Fuzzy time series and its models
• Interpretability issues in fuzzy modeling
• Learning rule base in linguistic expert systems
• An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network
• Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences
• Real world applications of computational intelligence.
• Fuzzy transforms: theory and applications
• Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction
• On the semantics of perception-based fuzzy logic deduction
• Fuzzy identification of systems and its applications to modeling and control
• Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
• Heuristic models of fuzzy time series for forecasting

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