Abstract

Complexity is defined as a quality of an object with many interwoven elements, aspects, details, or attributes that makes the whole object difficult to understand in a collective sense. Many measures of design complexity have been proposed in the literature. Of these the most popular are Information-theoretic metrics, such as Information Content based on Suh's Axiomatic Theory and Entropy based on Shannon's Information Theory. In this paper we will show that not only these metrics do not provide common sense measures of complexity, but they also do not possess proper mathematical properties. At best, they are geared towards measuring a designs goodness of fit rather than its complexity. It is hoped that this paper will generate some debate on strongly held beliefs in the design theory community.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Design Engineering Technical Conference
Pages395-404
Number of pages10
Volume9
DOIs
StatePublished - 2011
EventASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011 - Washington, DC, United States
Duration: Aug 28 2011Aug 31 2011

Other

OtherASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011
CountryUnited States
CityWashington, DC
Period8/28/118/31/11

Fingerprint

Metric
Information theory
Information Content
Entropy
Information Theory
Goodness of fit
Attribute
Design
Object
Beliefs
Community

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

Cite this

Shah, J. J., & Runger, G. (2011). Misuse of Information-theoretic dispersion measures as design complexity metrics. In Proceedings of the ASME Design Engineering Technical Conference (Vol. 9, pp. 395-404) https://doi.org/10.1115/DETC2011-48295

Misuse of Information-theoretic dispersion measures as design complexity metrics. / Shah, Jami J.; Runger, George.

Proceedings of the ASME Design Engineering Technical Conference. Vol. 9 2011. p. 395-404.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shah, JJ & Runger, G 2011, Misuse of Information-theoretic dispersion measures as design complexity metrics. in Proceedings of the ASME Design Engineering Technical Conference. vol. 9, pp. 395-404, ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011, Washington, DC, United States, 8/28/11. https://doi.org/10.1115/DETC2011-48295
Shah JJ, Runger G. Misuse of Information-theoretic dispersion measures as design complexity metrics. In Proceedings of the ASME Design Engineering Technical Conference. Vol. 9. 2011. p. 395-404 https://doi.org/10.1115/DETC2011-48295
Shah, Jami J. ; Runger, George. / Misuse of Information-theoretic dispersion measures as design complexity metrics. Proceedings of the ASME Design Engineering Technical Conference. Vol. 9 2011. pp. 395-404
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