| In our view "monitoring" is the task
of checking measurable variables deviations and generation of alarms
for supporting decision processes (i.e. decision support instead of
decision making). In this research topic we focus on monitoring tools,
based on inference systems (sometimes also called knowledge-based
systems or expert system), designed for supporting human operators
in uncertain contexts.
Classical Inference Systems (non-fuzzy) are computerized systems
that employ human knowledge on a given domain, captured in software,
to solve problems from that specific domain. When we extend the
classical inference to the fuzzy logic domain we have the added
value of being able to represent imprecision and to perform approximate
reasoning within uncertain environments, thus creating flexible
and adaptable systems. This is the research scope in this topic.
CA3 Relevant papers in this topic are (for more papers and downloads
see publication section):
- Coelho, C., Serra, P., Ribeiro, R., Pereira, R.M., Dietz, A.
& Donati, A. (2008), "Fuzzy alarm system for laser
gyroscopes degradation", Autosoft- Intelligent Automation
and Soft Computing International Journal, Vol 14, No 3. pp. 351-365.
- Pais, T., Devouassoux, Y., Reynaud, S. & Ribeiro, R. (2008),
"Regions rating for selecting spacecraft landing sites",
8th International Conference on Computational Intelligence in
Decision and Control (FLINS08). Madrid, Spain, September, 2008.
- Ribeiro, R. & Nunes, I. (2008), "Interfaces Usability
for Monitoring Systems", Encyclopedia of Decision Making
and Decision Support Technologies, Vol. 2. Information Science
Reference.
- Serra, P., Ribeiro, R., Marques-Pereira, R., Steel, R., Niezette,
M. & Donati, A. (2008), "Fuzzy Thermal Alarm System
for Venus Express", Encyclopedia of Decision Making and
Decision Support Technologies, Vol. 1. , pp. 391-401. Information
Science Reference.
- Jassbi, J., Alavi, S.H., A.Serra, P.J. & Ribeiro, R. (2007),
"Transformation of a Mamdani FIS to First Order Sugeno
FIS", IEEE International Conference on Fuzzy Systems.
London, United Kingdom, July, 2007 , pp. 1-6.
- Ribeiro, R.A. (2006), "Fuzzy Space Monitoring and Fault
Detection Applications", Journal of Decision Systems.
Vol. 15, No 2-3, pp. 267-286.
- Jameux, D., Vitulli, R., Ribeiro, R., Fonseca, T., Santos, B.
& Barata, M. (2006), "Monitoring and Diagnosis on-board
software module for Mars driller", 5th International
Workshop on Planning and Scheduling for Space . Baltimor, USA,
October, 2006.
|
|
