The growing complexity of real decision making
problems requires handling both quantitative and qualitative information.
The major challenges of rationalizing decision processes are how to
handle heterogeneous information, its intrinsic imprecision/uncertainty
and its dynamic nature. The capability of representing and handling
imprecise concepts is essential in today's information society, due
to the large quantities of information available for decision making.
This research is mainly focused on concepts, methods and algorithms
for solving multicriteria decision making and dynamic decision making
problems and developing applications with special emphasis in the
Space domain.
CA3 Relevant papers in this topic are (for more papers and downloads
see publication section):
- Campanella, G. & Ribeiro, R.A. (2012), "A Framework
for dynamic multiple criteria decision making", Decision
Support Systems., December, 2012. Vol. 52, pp. 52-60.
- T. C. Pais, R. A. Ribeiro, L. F. Simões. Uncertainty
in dynamically changing input data. In: Computational Intelligence
in Complex Decision Systems. DaRuan (Ed), Atlantis Computational
Intelligent Systems, Vol 2, Chapter 2, World Scientific (2010).
- Simões, L., Bourdarias, C. & Ribeiro, R. (2012),
"Real-Time Planetary Landing Site Selection -- A Non-Exhaustive
Approach", Acta Futura. Vol. 5, pp. 39-52.
- Campanella, G., Ribeiro, R.A. & Varela, L.R. (2011),
"A Model for B2B Supplier Selection" Vol. Vol 107,
pp. 221-228.. Series on Advances in Intelligent and Soft Computing,
Springer.
- G. Campanella, A. Pereira, R. A. Ribeiro, and L. R. Varela.
Collaborative Dynamic Decision Making: a Case Study from B2B
Supplier Selection. In Decision Support Systems - Collaborative
Models and Approaches in Real Environments. Hernández,
J.E., Zarate, P., Dargam, F. Delibaic, B., Liu, S. and Ribeiro,
R. (Eds.), Lecture Notes in Business Information Processing (LNBIP),
Springer Berlin Heidelberg, vol 121: 88-102 (2012).
- R. A. Ribeiro, T. C. Pais, L. F. Simões. Benefits
of full-reinforcement operators for spacecraft target landing.
In: 'Preferences and Decisions', S. Greco, R. A. M. Pereira, M.
Squillante, R. R. Yager, J. Kacprzyk (Eds.) Studies in Fuzziness
and Soft Computing, Volume 257, Springer-Verlag (2010)
- Pais, T., Ribeiro, R., Devouassoux, J. & Reynaud, S. (2008),
"Dynamic ranking algorithm for landing site selection",
Int. Conference on Information Processing and Management of Uncertainty
(IPMU08)., June, 2008.
- R. Marques-Pereira, Rita A. Ribeiro. Aggregation with generalized
mixture operators using weighting functions. Fuzzy Sets and
Systems, Vol 137, issue 1, (2003), 43-58.
|
|