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- W2746157292 abstract "Decision support systems are essential tools in nowadays'global and competitive scenario. Agile and trustworthycomputational resources help men in obtaining better results amongcompetitors. Time Series Forecasting is a very important task inthe field of decision support systems. Production planning,electricity demand prediction and stock market price estimative areexamples of time series forecasting applications. For this work,the method developed by (Wang and Mendel, 1992), for example,became a classic one and is based on Fuzzy Logic for rulesextraction from historical data. However, it has been observed thatin certain situations this method is unable to predict a futuredata. The present work aims at proposing a change in the mentionedmethod in a way that it always provides a non-zero exit. Theproposed solution combines the Wang-Mendel method with the MobileAverage Method and with the Exponential Smoothing Method." @default.
- W2746157292 created "2017-08-31" @default.
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- W2746157292 date "2008-06-06" @default.
- W2746157292 modified "2023-09-24" @default.
- W2746157292 title "A FUZZY HYBRID METHOD FOR TIME SERIES FORECASTING" @default.
- W2746157292 doi "https://doi.org/10.4301/contecsi996932008899" @default.
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