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Fuzzy Assessor Using Type 1 and Type 2 Fuzzy Sets
Author(s) -
Paulette Acheson,
Ci̇han H. Dağli
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.2012.01.033
Subject(s) - computer science , type (biology) , fuzzy logic , data mining , artificial intelligence , ecology , biology
This paper provides a fuzzy assessor that can be used to evaluate system architectures. The fuzzy assessor includes a method of assigning system architecture attribute values to the lower level subsystems using type 1 fuzzy sets and type 2 fuzzy sets. Each architecture attribute is evaluated at the lowest subsystem level and then mathematically rolled-up to provide the system level value for each architecture attribute. Then the value for each architecture attribute is combined into an overall system architecture performance value. This provides a mathematical method of qualitatively assessing a system architecture based on key architecture attributes.The fuzzy assessor uses the architecture attributes of reliability, robustness, affordability, flexibility, adaptability, and survivability as the key architecture attributes. The fuzzy assessor is implemented using MATLAB and is incorporated into a genetic algorithm. The Infantry Immersion Training Facility (IITF) is the domain for the architecture assessment using the Fuzzy Assessor with Type-2 Fuzzy Systems

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