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{{Short description|Exploration of possible solutions}}
{{COI|date=August 2010}}
'''Morphological analysis''' or '''general morphological analysis''' is a method for exploring possible solutions to a multi-dimensional, non-quantified complex problem. It was developed by Swiss astronomer [[Fritz Zwicky]].<ref name = "GMA">Ritchey, T. (1998). [http://www.swemorph.com/ma.html General Morphological Analysis: A general method for non-quantified modeling] {{Webarchive|url=https://web.archive.org/web/20100324053008/http://www.swemorph.com/ma.html |date=2010-03-24 }}.</ref> General morphology has found use in fields including [[engineering design]], [[Technology forecasting|technological forecasting]], [[organizational development]] and policy analysis.<ref>Álvarez, A. & Ritchey, T. (2015). [http://www.amg.swemorph.com/pdf/amg-4-1-2015.pdf "Applications of General Morphological Analysis: From Engineering Design to Policy Analysis", Acta Morphologica Generalis, Vol.4 No.1.] {{Webarchive|url=https://web.archive.org/web/20160513133747/http://www.amg.swemorph.com/pdf/amg-4-1-2015.pdf|date=2016-05-13}}</ref>
{{InfoMaps}}
'''Morphological analysis''' or '''general morphological analysis''' is a method for exploring possible solutions to a multi-dimensional, non-quantified complex problem. It was developed by [[Fritz Zwicky]].<ref name = "GMA">Ritchey, T. (1998). [http://www.swemorph.com/ma.html General Morphological Analysis: A general method for non-quantified modeling].</ref>


==Overview==
==Overview==
General [[Taxonomy (general)|morphology]] was developed by [[Fritz Zwicky]], the Bulgarian-born, Swiss-national [[astrophysicist]] based at the [[California Institute of Technology]]. Among others, Zwicky applied morphological analysis (MA) to astronomical studies and jet and [[Spacecraft propulsion|rocket propulsion]] systems. As a problem-structuring and [[Problem solving|problem-solving]] technique, MA was designed for multi-dimensional, non-quantifiable problems where causal modelling and simulation do not function well, or at all.
General [[morphology]] was developed by Fritz Zwicky, the Bulgarian-born, Swiss-national [[astrophysicist]] based at the [[California Institute of Technology]]. Among others, Zwicky applied morphological analysis to astronomical studies and jet and [[Spacecraft propulsion|rocket propulsion]] systems. As a problem-structuring and [[Problem solving|problem-solving]] technique, morphological analysis was designed for multi-dimensional, non-quantifiable problems where causal modelling and simulation do not function well, or at all.


Zwicky developed this approach to address seemingly non-reducible complexity: using the technique of cross-consistency assessment (CCA),<ref name="GMA" /> the system allows for reduction by identifying the possible solutions that actually exist, eliminating the illogical solution combinations in a grid box rather than reducing the number of variables involved.<ref>{{Cite journal|last=Ritchey|first=T|date=July 2006|title=Problem structuring using computer-aided morphological analysis|journal=Journal of the Operational Research Society|volume=57|issue=7|pages=792–801|doi=10.1057/palgrave.jors.2602177|issn=0160-5682}}</ref> General morphology has found use in fields including engineering design, technological forecasting, organizational development and policy analysis.<ref>Álvarez, A. & Ritchey, T. (2015). [http://www.amg.swemorph.com/pdf/amg-4-1-2015.pdf "Applications of General Morphological Analysis: From Engineering Design to Policy Analysis", Acta Morphologica Generalis, Vol.4 No.1.]</ref>
Zwicky developed this approach to address seemingly non-reducible complexity: using the technique of [[cross-consistency assessment]] (CCA),<ref name="GMA" /> the system allows for reduction by identifying the possible solutions that actually exist, eliminating the illogical solution combinations in a grid box rather than reducing the number of variables involved.<ref>{{Cite journal|last=Ritchey|first=T|date=July 2006|title=Problem structuring using computer-aided morphological analysis|journal=Journal of the Operational Research Society|volume=57|issue=7|pages=792–801|doi=10.1057/palgrave.jors.2602177|s2cid=19792496|issn=0160-5682}}</ref>


==Decomposition vs MA==
==Decomposition versus morphological analysis==
Problems that involve many governing factors, where most of them cannot be expressed numerically can be well suited for MA.
Problems that involve many governing factors, where most of them cannot be expressed numerically can be well suited for morphological analysis.


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.
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]</ref> The system's interactions are fully accounted for in the analysis.
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|date=2007-09-29}}</ref> The system's interactions are fully accounted for in the analysis.


== References ==
== References ==
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*{{Cite journal|last=Jones|first=J. C.|date=July 1981|title=Design methods and theories|journal=Design Studies|volume=2|issue=3|pages=176|doi=10.1016/0142-694x(81)90074-0|issn=0142-694X}}
*{{Cite journal|last=Jones|first=J. C.|date=July 1981|title=Design methods and theories|journal=Design Studies|volume=2|issue=3|pages=176|doi=10.1016/0142-694x(81)90074-0|issn=0142-694X}}
*{{Cite journal|last=Shubik|first=M.|date=1969-12-05|title=Technological Forecasting and Long-Range Planning. Robert U. Ayres. McGraw-Hill, New York, 1969. xviii + 238 pp., illus. $12.50|journal=Science|volume=166|issue=3910|pages=1257–1258|doi=10.1126/science.166.3910.1257|issn=0036-8075}}
*{{Cite journal|last=Shubik|first=M.|date=1969-12-05|title=Technological Forecasting and Long-Range Planning. Robert U. Ayres. McGraw-Hill, New York, 1969. xviii + 238 pp., illus. $12.50|journal=Science|volume=166|issue=3910|pages=1257–1258|doi=10.1126/science.166.3910.1257|issn=0036-8075}}
*{{Cite web|title=Morphological analysis as an aid to organisational design and transformation|last=Duczynski|first=G.A.|date=2016|website=*{{Cite web|url=https://globalecco.org/ctx-vol.-5-no.-1-february-2015;jsessionid=963C6228BE8D478E0605E2CFEBA524CF|title=Sustainability of the Afghan Security Forces: A Wicked Problem.|last=Duczynski|first=G.A.|last2=Jablonski|first2=J.|date=February 2015|website=globalecco.org|publisher=Counter Terrorism Exchange|access-date=2019-05-05|last3=Huddleston|first3=V|volume=5|issue=1}}
*{{Cite web|title=Morphological analysis as an aid to organisational design and transformation|last=Duczynski|first=G.A.|date=2016|url=https://www.sciencedirect.com/science/article/abs/pii/S0016328716300970}}
*{{Cite web|url=https://globalecco.org/ctx-vol.-5-no.-1-february-2015;jsessionid=963C6228BE8D478E0605E2CFEBA524CF|title=Sustainability of the Afghan Security Forces: A Wicked Problem.|last1=Duczynski|first1=G.A.|last2=Jablonski|first2=J.|date=February 2015|website=globalecco.org|publisher=Counter Terrorism Exchange|access-date=2019-05-05|last3=Huddleston|first3=V|volume=5|issue=1}}
*{{cite journal|url=https://www.systemdynamics.org/assets/conferences/2000/PDFs/ducz124p.pdf |last=Duczynski |first=G.A. |year=2000 |title=A Practitioner's Experience of Using Field Anomaly Relaxation (FAR) to Craft Futures |journal=Futures Research Quarterly |volume=16|issue= 3}}
*{{cite journal|url=https://www.systemdynamics.org/assets/conferences/2000/PDFs/ducz124p.pdf |last=Duczynski |first=G.A. |year=2000 |title=A Practitioner's Experience of Using Field Anomaly Relaxation (FAR) to Craft Futures |journal=Futures Research Quarterly |volume=16|issue= 3}}
*{{Cite journal|last=Duczynski|first=Guy|date=October 2004|title=Systems approaches to economic development for indigenous people: a case study of the Noongar Aboriginals of Australia|journal=Futures|volume=36|issue=8|pages=869–888|doi=10.1016/j.futures.2004.01.001|issn=0016-3287}}
*{{Cite journal|last=Duczynski|first=Guy|date=October 2004|title=Systems approaches to economic development for indigenous people: a case study of the Noongar Aboriginals of Australia|journal=Futures|volume=36|issue=8|pages=869–888|doi=10.1016/j.futures.2004.01.001|issn=0016-3287}}
*{{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}}
*{{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}}
*{{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 ==
== See also ==
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* [[Stakeholder analysis]]
* [[Stakeholder analysis]]
* [[Strategic planning]]
* [[Strategic planning]]
* [[Wicked problem]]
* [[TRIZ]]
* [[TRIZ]]
* [[Wicked problem]]
{{div col end}}
{{div col end}}


{{Portal bar|Philosophy|Psychology}}
{{Portal bar|Philosophy|Psychology}}


[[Category:Morphology]]
{{DEFAULTSORT:Morphological Analysis (Problem-Solving)}}
[[Category:Creativity]]
[[Category:Morphology|analysis problem-solving]]
[[Category:Problem solving methods]]
[[Category:Problem solving methods]]

Latest revision as of 13:39, 31 July 2024

Morphological analysis or general morphological analysis is a method for exploring possible solutions to a multi-dimensional, non-quantified complex problem. It was developed by Swiss astronomer Fritz Zwicky.[1] General morphology has found use in fields including engineering design, technological forecasting, organizational development and policy analysis.[2]

Übersicht

[edit]

General morphology was developed by Fritz Zwicky, the Bulgarian-born, Swiss-national astrophysicist based at the California Institute of Technology. Among others, Zwicky applied morphological analysis to astronomical studies and jet and rocket propulsion systems. As a problem-structuring and problem-solving technique, morphological analysis was designed for multi-dimensional, non-quantifiable problems where causal modelling and simulation do not function well, or at all.

Zwicky developed this approach to address seemingly non-reducible complexity: using the technique of cross-consistency assessment (CCA),[1] the system allows for reduction by identifying the possible solutions that actually exist, eliminating the illogical solution combinations in a grid box rather than reducing the number of variables involved.[3]

Decomposition versus morphological analysis

[edit]

Problems that involve many governing factors, where most of them cannot be expressed numerically can be well suited for morphological analysis.

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.[4] The system's interactions are fully accounted for in the analysis.

References

[edit]
  1. ^ a b Ritchey, T. (1998). General Morphological Analysis: A general method for non-quantified modeling Archived 2010-03-24 at the Wayback Machine.
  2. ^ Álvarez, A. & Ritchey, T. (2015). "Applications of General Morphological Analysis: From Engineering Design to Policy Analysis", Acta Morphologica Generalis, Vol.4 No.1. Archived 2016-05-13 at the Wayback Machine
  3. ^ Ritchey, T (July 2006). "Problem structuring using computer-aided morphological analysis". Journal of the Operational Research Society. 57 (7): 792–801. doi:10.1057/palgrave.jors.2602177. ISSN 0160-5682. S2CID 19792496.
  4. ^ Modelling Complex Socio-Technical Systems Using Morphological Analysis (Ritchey 2003-06)[1] Archived 2007-09-29 at the Wayback Machine

Further reading

[edit]

See also

[edit]