DocumentCode :
2214929
Title :
Self-adaptive fuzzy-timed systems
Author :
Andrés, César ; Liana, Luis ; Núñez, Manuel
Author_Institution :
Dept. de Sist. Informaticos y Comput., Univ. Complutense de Madrid, Madrid, Spain
fYear :
2011
fDate :
5-8 June 2011
Firstpage :
115
Lastpage :
122
Abstract :
We consider the formal representation and analysis of systems with fuzzy-time information. First, we present a formalism to represent specifications. This model exploits the concepts of fuzzy set theory and uses a mathematical framework to get a more flexible approach. As it is usually assumed in industrial case studies, we consider that the original requirements of the specification may change. The implementation is built with respect to these changes but the specification is not upgraded. Thus, it may be outdated. In order to continue using the formal framework, the specification must be adapted with respect to these new requirements. We consider that this update process should be as non-intrusive as possible, that is, without using the source-code of the implementation. We present a novel methodology for self-evolving fuzzy-time systems, without interacting with the source code.
Keywords :
formal specification; fuzzy set theory; self-adjusting systems; formal analysis; formal representation; formal specification; fuzzy set theory; fuzzy-time information; self adaptive fuzzy timed system; self evolving fuzzy time system; source code; Automata; Clocks; Color; Cost accounting; Fuzzy logic; Postal services; Semantics; Evolutive Systems; Fuzzy Set Theory; Timed Automata;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location :
New Orleans, LA
ISSN :
Pending
Print_ISBN :
978-1-4244-7834-7
Type :
conf
DOI :
10.1109/CEC.2011.5949607
Filename :
5949607
Link To Document :
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