Modelling, analysis and sensory metrication towards a quantitative understanding of complexity in systems

Loading...
Thumbnail Image

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

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.