A Fuzzy Data-Driven Paradigmatic Predictor

Amirjavid, Farzad and Nemati, Hamidreza and Barak, Sasan (2019) A Fuzzy Data-Driven Paradigmatic Predictor. IFAC-PapersOnLine. ISSN 2405-8963 (In Press)

[img] Text (MIM19_0677_FI)
MIM19_0677_FI.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (795kB)

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.

Item Type: Journal Article
Journal or Publication Title: IFAC-PapersOnLine
Subjects:
Departments: Faculty of Science and Technology > Engineering
Lancaster University Management School > Management Science
ID Code: 133936
Deposited By: ep_importer_pure
Deposited On: 22 Jun 2019 09:13
Refereed?: Yes
Published?: In Press
Last Modified: 27 Feb 2020 04:54
URI: https://eprints.lancs.ac.uk/id/eprint/133936

Actions (login required)

View Item View Item