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Seasonal adjustment plays a significant role in the analysis of current social and economic conditions, particularly in determining the stages of the business cycle at which the economy stands. Nowadays the most popular method for seasonal adjustment in time series forecasting is the X-12-ARIMA algorithm, etc. All of these methods are sophisticated and difficult to understand and not suitable for...
Markov chains play an important role in the decision analysis. In the practical applications, decision-makers often need to decide in an uncertain condition which the traditional decision theory can't deal with. In this paper, we combine Markov chains with the fuzzy sets to build a fuzzy Markov chain model using a triangle fuzzy number to denote the transition probability. A method is given to compute...
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