Abstract

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)

Department(s)

Engineering Management and Systems Engineering

Comments

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

International Standard Serial Number (ISSN)

1877-0509

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2015 The Authors, All rights reserved.

Creative Commons Licensing

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Publication Date

01 Nov 2015

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