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 Thus, it may be outdated.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