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Selecting Attributes, Rules, and Membership Functions for Fuzzy SoS Architecture Evaluation
Procedia Computer Science
  • Louis Pape
  • Siddhartha Agarwal
  • Cihan H. Dagli, Missouri University of Science and Technology

The development of the FILA-SoS meta-architecture approach to acknowledged systems of systems (SoS) analysis allows a relatively unbiased method for exploring a potential SoS architecture space. This paper delves more deeply into the process of building the lists of desirable fuzzy attributes of a SoS, developing rules for combining attribute values to an overall assessment, and discovering membership function shapes that work well. A wide range of options exist for all the individual elements of SoS assessment. Some recommendations for finding an appropriate combination for the adjustable parameters of fuzzy assessment models through random architecture chromosome testing and iteration are developed.

Meeting Name
Complex Adaptive Systems (2015: Nov. 2-4, San Jose, CA)
Engineering Management and Systems Engineering
This material is based upon work supported, in whole or in part, by the U.S. Department of Defense, through the Systems Engineering Research Center (SERC), under Contract H98230-08-D-0171. The SERC is a federally funded University Affiliated Research Center managed by Stevens Institute of Technology.
Keywords and Phrases
  • Adaptive systems,
  • Architecture,
  • Iterative methods,
  • System of systems,
  • Systems engineering acknowledged,
  • Adjustable parameters,
  • Architecture evaluation,
  • Assessment,
  • Fuzzy assessments,
  • Fuzzy attributes,
  • Fuzzy genetic,
  • Membership functions,
  • Meta-architecture
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
© 2015 The Authors, All rights reserved.
Creative Commons Licensing
Creative Commons Attribution-Noncommercial-No Derivative Works 4.0
Publication Date
Citation Information
Louis Pape, Siddhartha Agarwal and Cihan H. Dagli. "Selecting Attributes, Rules, and Membership Functions for Fuzzy SoS Architecture Evaluation" Procedia Computer Science Vol. 61 (2015) p. 176 - 182 ISSN: 1877-0509
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