A multiset based forecasting model for fuzzy time series

Year 2015, Volume: 44 Issue: 4, 965 - 973, 01.08.2015

V. Vamitha S. Rajaram

Abstract

Since the pioneering work of Song and Chissom (1993a,b) on fuzzy
time series to model and forecast processes whose values are described
by linguistic values, a number of techniques have been proposed by
researchers for forecasting. In most of the realistic situation the duplicates of data are significant. This paper presents a new fuzzy time
series method, which employs multiset theory. The historical data of
daily average temperature in Taipei, Taiwan (central weather bureau
1996) are adopted to illustrate the forecasting process of the proposed
method. 

Keywords

Multiset, Forecasting, Fuzzy time series, Multiset relation, List

References

• .