A multiset based forecasting model for fuzzy time series

Authors : V VAMİTHA, S RAJARAM

Pages : 965-973

View : 26 | Download : 16

Publication Date : 2015-08-01

Article Type : Research Paper

Abstract :Since the pioneering work of Song and Chissom insert ignore into journalissuearticles values(1993 a,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 insert ignore into journalissuearticles values(central weather bureau 1996 ); are adopted to illustrate the forecasting process of the proposed method. 
Keywords : Multiset, Forecasting, Fuzzy time series, Multiset relation, List