TY - JOUR
T1 - A fuzzy evaluation method for system of systems meta-architectures
AU - Pape, Louis
AU - Giammarco, Kristin
AU - Colombi, John
AU - Dagli, Cihan
AU - Kilicay-Ergin, Nil
AU - Rebovich, George
N1 - Funding Information:
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. SERC is a federally funded University Affiliated Research Center managed by Stevens Institute of Technology.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.1016/j.procs.2013.01.026
DO - 10.1016/j.procs.2013.01.026
M3 - Conference article
AN - SCOPUS:84896970206
SN - 1877-0509
VL - 16
SP - 245
EP - 254
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 11th Annual Conference on Systems Engineering Research, CSER 2013
Y2 - 19 March 2013 through 22 March 2013
ER -