Selecting Attributes, Rules, and Membership Functions for Fuzzy SoS Architecture Evaluation | Zendy

Louis Pape | Zendy; Siddhartha Agarwal | Zendy; Ci̇han H. Dağli | Zendy

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Selecting Attributes, Rules, and Membership Functions for Fuzzy SoS Architecture Evaluation

Author(s) -

Louis Pape,

Siddhartha Agarwal,

Ci̇han H. Dağli

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.09.187

Subject(s) - computer science , architecture , fuzzy logic , process (computing) , data mining , function (biology) , range (aeronautics) , artificial intelligence , machine learning , programming language , art , visual arts , materials science , composite material , evolutionary biology , biology

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

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