Zusammenfassung
Apropriate decomposition methods are vital for dealing with systems considered “large“ on account of their number of variables and the complexity of relationship between these. Generally speaking, decomposition methods are tools for representing a given complex model in a structural form that lends itself more readily to the analysis or synthesis required.
In line with the type of model in question, different decomposition principles emerge and it is possible to relate these principles to a general framework of a “representation system“ and a “representation machine“.
Initially, this paper consider the general aspects of decomposition and presents schemes how these may be systematized. The second part discusses various methods for systems on different levels of abstraction and provides references to current literature.
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Pichler, F. (1980). Dekompositionsprinzipien Fuer Systeme. In: Henn, R., Schips, B., Stähly, P. (eds) Quantitative Wirtschafts- und Unternehmensforschung. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-67616-1_32
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DOI: https://doi.org/10.1007/978-3-642-67616-1_32
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