Time series grouping based on fuzzy sets and fuzzy sets type 2

Abstract

The contribution is focused on a new method of grouping time series according to their local tendency indicator that is expressed by a linear coefficient of the F 1 -transform. The useful consequence of grouping is an effective procedure of forecasting such that only one time series from a group is forecasted. Our approach for the analysis and forecasting of the time series of software development is used.