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Entropy Metrics for System Identification and Analysis

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  • Joseph J. Simpson
  • Mary J. Simpson

Abstract

Whole system metrics are valuable tools for use in systems science and engineering. Entropy metrics are defined, developed, and demonstrated in this paper. Based on classical systems engineering methods and practices, these entropy metrics indicate the degree of order/disorder in any given system. A physical‐entropy based metric and an information‐based entropy metric are aligned with the two primary components of a system: objects and relationships. The physical‐entropy based metric is called a relational score, and the information‐based metric is called an object score. A subsystem score, based on the relational score and object score, is also developed and presented in this paper. A well‐defined process, using these metrics, is used to evaluate the reduction of entropy and complexity associated with any specific system. The metrics and processes developed in this work have a prose component, a graphic component, and a mathematical component. These three components are aligned with the systems science techniques developed by John N. Warfield.

Suggested Citation

  • Joseph J. Simpson & Mary J. Simpson, 2014. "Entropy Metrics for System Identification and Analysis," Systems Engineering, John Wiley & Sons, vol. 17(2), pages 140-156, June.
    • Handle: RePEc:wly:syseng:v:17:y:2014:i:2:p:140-156
    DOI: 10.1002/sys.21259
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    1. Joseph Simpson & Mary Simpson, 2011. "Complexity reduction: A pragmatic approach," Systems Engineering, John Wiley & Sons, vol. 14(2), pages 180-192, June.
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