A new paradigm for uncertain knowledge representation by Plausible Petri nets
Chiachío, Manuel and Chiachío, Juan and Prescott, Darren and Andrews, John (2018) A new paradigm for uncertain knowledge representation by Plausible Petri nets. Information Sciences, 453. pp. 323-345. ISSN 0020-0255 (https://doi.org/10.1016/j.ins.2018.04.029)
Preview |
Text.
Filename: Chiachio_etal_IS_2018_A_new_paradigm_for_uncertain_knowledge_representation.pdf
Final Published Version License: Download (1MB)| Preview |
Abstract
This paper presents a new model for Petri nets (PNs) which combines PN principles with the foundations of information theory for uncertain knowledge representation. The resulting framework has been named Plausible Petri nets (PPNs). The main feature of PPNs resides in their efficiency to jointly consider the evolution of a discrete event system together with uncertain information about the system state using states of information. The paper overviews relevant concepts of information theory and uncertainty representation, and presents an algebraic method to formally consider the evolution of uncertain state variables within the PN dynamics. To illustrate some of the real-world challenges relating to uncertainty that can be handled using a PPN, an example of an expert system is provided, demonstrating how condition monitoring data and expert opinion can be modelled.
ORCID iDs
Chiachío, Manuel, Chiachío, Juan ORCID: https://orcid.org/0000-0003-1243-8694, Prescott, Darren and Andrews, John;-
-
Item type: Article ID code: 65355 Dates: DateEvent31 July 2018Published10 April 2018Published Online7 April 2018AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 05 Sep 2018 10:20 Last modified: 19 Sep 2024 00:41 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/65355