Modelling, analysis and sensory metrication towards a quantitative understanding of complexity in systems
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Date
Authors
Ball, Melissa Claire
Ayomoh, Michael Kweneojo
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
Modelling and metrication of the complexity of systems have occupied a growing and
largely underdeveloped problem space in the literature of complex systems. In this research, preliminary results depicting the complexity of a service system premised on a tertiary institution of
learning is presented. The concept deployed focused on modelling the trio core entities viz: functional
elements, physical elements and the intricacy of connectivity associated with the flow of signals in
the normal systemic operations. The numerous activities depicting diversity and multiplicity were
holistically enumerated prior to sensing and metrication. The outcome of this research underscores
effectiveness in the proposed model.
Description
DATA AVAILABILITY STATEMENT: Data are contained within the article.
Keywords
System complexity, Activity sensing, Metrication, Complexity quantification, Physical elements, Functional elements, Intricacy of connectivity, Hybrid structural interaction matrix, SDG-04: Quality education, SDG-09: Industry, innovation and infrastructure
Sustainable Development Goals
SDG-04:Quality Education
SDG-09: Industry, innovation and infrastructure
SDG-09: Industry, innovation and infrastructure
Citation
Ball, M.; Ayomoh, M. Modelling, Analysis and Sensory Metrication Towards a Quantitative Understanding of Complexity in Systems. Engineering Proceedings 2024, 82, 23. https://doi.org/10.3390/ecsa-11-20460.