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The conventional approach is to break a complex system into parts, isolate the parts (dropping the 'trivial' elements) whose contributions are critical to the output and solve the simplified system for desired scenarios. The disadvantage of this method is that many real-world phenomena do not have obviously trivial elements and cannot be simplified.
Morphological analysis works backwards from the output towards the system internals without a simplification step.<ref>Modelling Complex Socio-Technical Systems Using Morphological Analysis (Ritchey 2003-06)[http://www.swemorph.com/pdf/it-webart.pdf] {{Webarchive|url=https://web.archive.org/web/20070929124133/http://www.swemorph.com/pdf/it-webart.pdf
== References ==
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*{{Citation|last=Levin|first=Mark Sh.|chapter=Modular Systems, Combinatorial Engineering Frameworks|date=2014-09-06|pages=1–10|publisher=Springer International Publishing|isbn=9783319098753|doi=10.1007/978-3-319-09876-0_1|title=Modular System Design and Evaluation|series=Decision Engineering}}
*{{Cite journal|last=Duczynski|first=Guy|date=January 2018|title=Investigating traffic congestion: Targeting technological and social interdependencies through general morphological analysis|journal=Technological Forecasting and Social Change|volume=126|pages=161–167|doi=10.1016/j.techfore.2017.05.019|issn=0040-1625}}
*Duczynski, Guy; dov Bachmann, Sascha; Smith, Matthew; Knight, Charles (August 2023). "Operational and Strategic Progress in Ukraine: Identifying the Condition Changes". Naval Post-Graduate School, Insights, Monterrey. available at: https://nps.edu/web/ecco/global-ecco-insights
== See also ==
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