Fuzzy time series and related applications

Currently, inventing new approaches for modeling the classical time series analysis with last decade?s favorites theme Fuzzy Logic and Sets Theory is going to be popular. In many different scientific models and research areas the Fuzzy Logic Systems are easy to integrate with. Forecasting the short/long distance of future is the main objective of Time Series Analysis and lately it evolves Fuzzy Logic Systems. The main aim in this thesis is evaluating the forecasting or estimation error rate on invented and also improved new models, if they have stronger or weaker affiliations.At the introduction section, effects of Time Series Analysis and Fuzzy Logic Systems in human daily life are separately discussed. The second and third sections include the axioms, definitions of Time Series Analysis and Fuzzy Logic and Sets Theory. The following section after them defines and compares how the newly invented methodology of Fuzzy Time Series gathered. Also the pros and cons of the new system is discussed, so if the forecasting or estimating abilities are superior or not.