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Objects, Relations and Clusters for System Analysis
Author(s) -
Simpson Joseph J.,
Simpson Mary J
Publication year - 2015
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2015.00073.x
Subject(s) - structuring , cluster analysis , computer science , focus (optics) , relation (database) , component (thermodynamics) , object (grammar) , meaning (existential) , data mining , artificial intelligence , theoretical computer science , epistemology , philosophy , physics , finance , optics , economics , thermodynamics
The use of Abstract Relation Types (ART) in the analysis of system structure and system component clustering is the primary focus of this paper. Two basic system definitions are presented along with two, object‐clustering definitions which were obtained from a literature search. Systems structuring mathematical properties, used in systems analysis, are outlined and discussed. The ART analysis approach is applied to classical N ‐Squared Charts and Design Structure Matrices (DSM), with specific emphasis on clustering methods, types and meaning. The primary structuring relationship associated with N ‐Squared ART and DSM ART are evaluated and discussed. Multiple DSM ART solution approaches and techniques are referenced and discussed.