Fuzzy Architecture Assessment for Critical Infrastructure Resilience
Author(s) -
George Muller
Publication year - 2012
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.2012.09.086
Subject(s) - resilience (materials science) , computer science , critical infrastructure , architecture , fuzzy logic , key (lock) , risk analysis (engineering) , selection (genetic algorithm) , systems engineering , computer security , artificial intelligence , business , engineering , art , physics , visual arts , thermodynamics
This paper presents an approach for the selection of alternative architectures in a connected infrastructure system to increase resilience of the overall infrastructure system. The paper begins with a description of resilience and critical infrastructure, then summarizes existing approaches to resilience, and presents a fuzzy-rule based method of selecting among alternative infrastructure architectures. This methodology includes considerations which are most important when deciding on an approach to resilience. The paper concludes with a proposed approach which builds on existing resilience architecting methods by integrating key system aspects using fuzzy memberships and fuzzy rule sets. This novel approach aids the systems architect in considering resilience for the evaluation of architectures for adoption into the final system architecture
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