DISAGGREGATION 5)
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A higher resolution level in a model, that aims at showing more clearly variables considerate as more elemental.
D. MEADOWS et al. write, referring themselves to the supposed practical benefits of disaggregation: "… every modelling effort is subject to severe constraints of time and resources. It is never possible (or desirable) to include everything that analysts - or others – think may be desirable. As a model becomes more detailed, data requirements, mathematical problems and overall complexity increase at a rapid rate. Detail can become a heavy burden when the time comes to debug the computer program or write documentation. Sometimes the decision to use a higher level of disaggregation results in excluding whole sectors or, perhaps limiting the time available for validation, sensitivity analysis, documentation or even actual use of the model to calculate results. It can also make the running of the model very expensive" (1982, p.101-2).
Categories
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
Publisher
Bertalanffy Center for the Study of Systems Science(2020).
To cite this page, please use the following information:
Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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