Resilometrics : Principles of the Discipline and The Resilience Measure Models

The notion of resilience reflects the ability of a system to maintain vital functions in changing environments. In social sciences, resilience is defined as the ability of a system to bounce back from a traumatic shock that has produced a breakdown in social habits. The use of the notion of resilien...

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Bibliographic Details
Published in:International journal of computer science and information security 2016-05, Vol.14 (5), p.162-162
Main Authors: Mélaine, Achiépo Odilon Yapo, Patrice, Mensah Edoeté
Format: Article
Language:English
Subjects:
Applied mathematics
Artificial intelligence
Computation
Computer science
Expert systems
Least squares method
Mathematical analysis
Mathematical models
Modelling
Resilience
Social sciences
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Summary:The notion of resilience reflects the ability of a system to maintain vital functions in changing environments. In social sciences, resilience is defined as the ability of a system to bounce back from a traumatic shock that has produced a breakdown in social habits. The use of the notion of resilience in social sciences poses many challenges which include the modeling of resilience process. To do so, a new modeling area, called resilometrics, is proposed to fill the gap. Hence, resilometrics will be the discipline that model resilience processes in social science. Resilometrics will essentially use information's about suffering in the modeled social systems and favors graphical interfaces and very easy interpretation of the model's results. Resilometrics is developed using computational models in Applied Mathematics and Artificial Intelligence essentially. The goal of this paper is to briefly present the discipline and describe the basic models to measure the resilience and its dimensions. These models are based on Partial Least Square Path Modeling method (PLSPM) which is a computational approach in the statistical modeling fields known as Structural Equation Modeling with Latent Variables (SEMLV).
ISSN:1947-5500