Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6121
Title: A novel membership value based performance measure
Authors: Aladag, Çağdaş Hakan
Türkşen, İsmail Burhan
Keywords: Fuzzy systems
fuzzy time series
membership values
model evaluation
performance measure
Issue Date: 2015
Publisher: Ios Press
Abstract: Various models which are based on fuzzy systems have been successfully used in many application areas including but not limited to forecasting, optimization, clustering, and modeling. An important issue is to evaluate the performance of these models. In general, a performance measure is calculated based on the difference between the defuzzified output values and corresponding desired values. Although fuzzy inference is performed over fuzzy sets or numbers, performance measure is calculated over numerical values in the literature. Thus, the membership values are ignored. We suggest that a performance measure which takes membership values into account would be a better criterion. In this study, a novel membership value based performance measure which takes membership values into consideration is proposed to evaluate models based on fuzzy systems.
URI: https://doi.org/10.3233/IFS-141373
https://hdl.handle.net/20.500.11851/6121
ISSN: 1064-1246
1875-8967
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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