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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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
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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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