On Modelling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems using a System Identification Framework

Chin, Ying Teh and Yi, Wen Kerk and Tay, Kai Meng and Chee, Peng Lim (2018) On Modelling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems using a System Identification Framework. IEEE Transactions on Fuzzy Systems, 26 (6). pp. 3860-3874. ISSN 10636706

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Official URL: https://ieeexplore.ieee.org/document/8399561

Abstract

Chin Ying Teh, Yi Wen Kerk, Kai Meng Tay, and Chee Peng Lim

Item Type: Article
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, research, Universiti Malaysia Sarawak.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 03 Jul 2019 08:12
Last Modified: 03 Jul 2019 08:12
URI: http://ir.unimas.my/id/eprint/25498

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