Results 271 to 280 of about 30,162 (305)

Time Series Modeling Based on Fuzzy Transform

2016
It is well known that smoothing is applied to better see patterns and underlying trends in time series. In fact, to smooth a data set means to create an approximating function that attempts to capture important features in the data, while leaving out noises.
GUERRA, MARIA LETIZIA, Sorini, Laerte, STEFANINI, LUCIANO   +2 more
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A novel seasonal fuzzy time series method

2012
WOS ...
Alpaslan, Faruk, Cagcag, Ozge, Aladag, C. H., Yolcu, U., Egrioglu, E.   +4 more
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An efficient time series forecasting model based on fuzzy time series

Engineering Applications of Artificial Intelligence, 2013
In this paper, we present a new model to handle four major issues of fuzzy time series forecasting, viz., determination of effective length of intervals, handling of fuzzy logical relationships (FLRs), determination of weight for each FLR, and defuzzification of fuzzified time series values.
Pritpal Singh, Bhogeswar Borah
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Intuitionistic time series fuzzy inference system

Engineering Applications of Artificial Intelligence, 2019
Abstract Although adaptive network fuzzy inference system and fuzzy functions approach can be utilized as a prediction tool, they have been not designed for prediction problem and they ignore the dependency structure of time series observations. From this viewpoint, making a design of the method that considers the dependency structure of observations
Egrioglu, Erol, Bas, Eren, Yolcu, Ozge Cagcag, Yolcu, Ufuk   +3 more
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Financial Time Series Fuzzy Forecasting

1996
BADANIA OPERACYJNE I ...
CANESTRELLI, Elio, GIOVE, Silvio, SOGLIANI A.   +2 more
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Fuzzy-basierte Zeitreihenvorhersage (Fuzzy-based Time Series Forecasting)

auto, 2000
Dieser Beitrag beschreibt eine neue Methode zur Vorhersage von Zeitreihen. Sie benötigt kein Modell des Signalprozesses und basiert auf einem Vergleich zwischen der aktuellen Situation und allen Situationen aus der Vergangenheit. Mit Hilfe eines fuzzy-basierten Algorithmus werden die vorherzusagenden Werte auf der Grundlage dieses Vergleiches bestimmt.
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A Revised Fuzzy Time Series Method

Advanced Materials Research, 2010
In this paper,we presents two methods to forecast secular trend and seasonal variation time series problems respectively. The revised fuzzy time series method uses Song and Chrisom’s first-order time-invariant model to predict such linguistic historical data problems.
Yan Hua Yu, Li Xia Song
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Weighted Fuzzy Time Series Forecasting Model

2010
Traditional time series methods fail to forecast the problems with linguistic historical data. An alternative forecasting method such as fuzzy time series is needed to deal with these kinds of problems. This study proposes a fuzzy time series method based on trend variations.
Jia-Wen Wang, Jing-Wei Liu
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Seasonal forecasting in fuzzy time series

Fuzzy Sets and Systems, 1999
Abstract In this communication, a seasonal forecasting model for fuzzy time series is proposed.
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Fuzzy Time Series Forecasting: A Survey

2019
Over the past 25 years, fuzzy time series forecasting (TSF) methods have remained a keen area of interest among the forecasters of different domains. A number of fuzzy TSF methods have been developed and applied in a wide variety of applications. This paper reviews related research papers from the period between 1993 and 2017 with a focus on the ...
Sibarama Panigrahi, Himansu Sekhar Behera   +1 more
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