The impact of FOU size and number of MFs on the prediction performance of Interval Type-2 Fuzzy Logic Systems

The impact of FOU size and number of MFs on the prediction performance of Interval Type-2 Fuzzy Logic Systems

The inclusion of footprint of uncertainty (FOU) in Interval Type-2 Fuzzy Logic Systems (IT2FLSs) made them suitable for modelling uncertainty. This paper investigates the impact of FOU size and number of membership functions (MFs) on the model's prediction performance. An IT2FLS trained using a...

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Bibliographic Details
Main Authors: Hassan, S., Khosravi, A., Jaafar, J.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995673101&doi=10.1109%2fISMSC.2015.7594036&partnerID=40&md5=8254bc1f6f2a13ac50d7001f9c7186f0
http://eprints.utp.edu.my/30905/
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Institution: Universiti Teknologi Petronas

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995673101&doi=10.1109%2fISMSC.2015.7594036&partnerID=40&md5=8254bc1f6f2a13ac50d7001f9c7186f0
http://eprints.utp.edu.my/30905/

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