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Abstract: This paper explores a nearest neighbour pattern recognition method for time-series forecasting. A nearest neighbour method (FNNM) based on fuzzy membership values is developed. The main aim of the forecasting algorithm is to make single point forecasts into the future on the basis of past nearest neighbours. The nearest neighbours are selected using a membership threshold value. The results include the mean absolute percentage error and the direction error for sales data of three real control... (Update)
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BibTeX entry: (Update)
@misc{ singh-fuzzy,
author = "Sameer Singh",
title = "Fuzzy Nearest Neighbour Method For Time-Series Forecasting",
url = "citeseer.ist.psu.edu/singh98fuzzy.html" }
Citations (may not include all citations):26 Neural networks in financial engineering: A study in methodo.. (context) - Refenes, Burgess et al. - 1997
23 Neural Network Time Series Forecasting of Financial Markets (context) - Azoff - 1994
14 Predicting Chaotic Dynamics (context) - Farmer, Sidorowich - 1988
13 Forecasting: Principles and Applications (context) - Delurgio - 1998
1 Fuzzy mathematical approach to pattern recognition (context) - Kelso, Mandell et al. - 1986
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