Farzad Amirjavid
A fuzzy data-driven paradigmatic predictor
Amirjavid, Farzad; Nemati, Hamidreza; Barak, Sasan
Abstract
Data-driven prediction of future events is to provide decision-makers Predictive Information (PI) to decrease human-error. They usually desire possession of a predictor which works independently from the humanized configurations and works efficiently and accurately. The accurate data-driven prediction of the systems' behavior is the primary focus of this paper. We define the future state of a system is a set of uncertain values, which can be modeled by fuzzy numbers. The future machine state is not very dissimilar to the current status, and the next event is a sort of behavior repetition. The PI also justifies the system being in a trend to achieve a goal, and it counts the unplanned contextual reactions of the system. In this paper, we come up with a fuzzy data-driven predictor application to foretell the system behavior.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019 |
Acceptance Date | Dec 31, 2019 |
Publication Date | Sep 1, 2019 |
Deposit Date | Apr 21, 2020 |
Journal | IFAC-PapersOnLine |
Print ISSN | 1474-6670 |
Electronic ISSN | 2405-8963 |
Publisher | International Federation of Automatic Control (IFAC) |
Peer Reviewed | Peer Reviewed |
Volume | 52 |
Issue | 13 |
Pages | 2366-2371 |
DOI | https://doi.org/10.1016/j.ifacol.2019.11.560 |
Keywords | Control and Systems Engineering |
Public URL | https://uwe-repository.worktribe.com/output/5876337 |
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