Fuzzy time series methods based on the fuzzy set theory proposed by Zadeh (1965) was first introduced by Song and … Chissom (1993). Since fuzzy time series methods do not have the assumptions that traditional time series do and have effective … forecasting performance, the interest on fuzzy time series approaches is increasing rapidly. Fuzzy time series methods have been …

Fuzzy time series methods based on the fuzzy set theory proposed by Zadeh (1965) was first introduced by Song and … Chissom (1993). Since fuzzy time series methods do not have the assumptions that traditional time series do and have effective … forecasting performance, the interest on fuzzy time series approaches is increasing rapidly. Fuzzy time series methods have been …

series neural network with bootstrap model, is composed of a dynamic n-order 2-factor fuzzy time series model, a radial basis … function neural network model and a bootstrap method. In the proposed model, the dynamic n-order 2-factor fuzzy time series … hybrid model to forecast the option price. The proposed model, termed as the dynamic weighted distance-based fuzzy time …