Modelling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference System

Teh, Chin Ying (2018) Modelling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference System. PhD thesis, Universiti Malaysia Sarawak.

[img] PDF
Modelling of Data-Driven ftext.pdf
Download (4MB)
Item Type: Thesis (PhD)
Additional Information: Thesis PhD -- Universiti Malaysia Sarawak, 2018.
Uncontrolled Keywords: Degree of monotonicity; monotone data; monotone fuzzy rules; monotone fuzzy rules relabeling; monotonicity test; strong fuzzy partition; system identification; TSK fuzzy inference system, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, Postgraduate, research, Universiti Malaysia Sarawak.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 14 May 2019 07:33
Last Modified: 02 Sep 2025 08:21
URI: http://ir.unimas.my/id/eprint/24830

Actions (For repository members only: login required)

View Item View Item
UNIMAS Institutional Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.