A fuzzy evaluation method for system of systems meta-architectures

Louis Pape, Kristin Giammarco, John Colombi, Cihan Dagli, Nil Kilicay-Ergin, George Rebovich

Research output: Contribution to journalConference article

18 Scopus citations

Abstract

A method is proposed for evaluating a range of System of Systems (SoS) meta-architecture alternatives. SoS are composed through combination of existing, fully functioning Systems, possibly with minor functional changes, but certainly by using the combined Systems to achieve a new capability, not available from the Systems alone. The meta-architecture describes how all possible subsets of Systems can be combined to create an SoS. The fitness of a realizable SoS architecture may be characterized by terms such as unacceptable, marginal, above average, or excellent. While these terms provide little information about the SoS when used alone and informally, they readily fit into fuzzy membership sets that overlap at their boundaries. More descriptive , particular suite of missions, and affordability, themselves readily to fuzzy evaluation as well. An approach to defining the fuzzy concepts and establishing rule sets to provide an overall SoS evaluation for many sets of participating individual Systems represented by the meta-architecture is discussed. An application of the method is discussed within the framework of developing and evaluating a hypothetical Intelligence, Surveillance and Reconnaissance (ISR) SoS capability.

Original languageEnglish (US)
Pages (from-to)245-254
Number of pages10
JournalProcedia Computer Science
Volume16
DOIs
StatePublished - Jan 1 2013
Event11th Annual Conference on Systems Engineering Research, CSER 2013 - Atlanta, GA, United States
Duration: Mar 19 2013Mar 22 2013

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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