Solving computational bottleneck of interval type-2 fuzzy systems

Salaken, Syed Moshfeq 2018, Solving computational bottleneck of interval type-2 fuzzy systems, PhD thesis, Institute for Intelligent Systems Research and Innovation, Deakin University.

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Title Solving computational bottleneck of interval type-2 fuzzy systems
Author Salaken, Syed Moshfeq
Institution Deakin University
School Institute for Intelligent Systems Research and Innovation
Faculty GTP Research
Degree type Research doctorate
Degree name PhD
Thesis advisor Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Date submitted 2018-01-14
Summary This study proposes machine learning based algorithm to solve a long-standing problem in the field of higher order fuzzy logic systems. Findings from this study shows that the proposed algorithmic framework provides substantial enhancement to these systems in terms of computational cost and processing speed.
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
Description of original 96
Restricted until 2019-01-15
Copyright notice ┬ęThe author
Persistent URL http://hdl.handle.net/10536/DRO/DU:30110816

Document type: Thesis
Collection: Higher degree theses (citation only)
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Created: Tue, 10 Jul 2018, 15:23:45 EST by Bayne Christine

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