Title :
Fuzzy decision making in space applications
Author :
Ribeiro, Rita A.
Author_Institution :
CA3- Res. Group on Comput. Intell., Univ. Nova Lisboa, Caparica, Portugal
Abstract :
Summary form only given. In many decision-making applications, data fusion and dynamic models are essential issues to achieve good results. When tackling problems such as monitoring and/or classification or selection, to be able to deal with dynamically changing input data as well as imprecision in data, is of paramount importance.
Keywords :
aerospace computing; decision making; fuzzy set theory; pattern classification; sensor fusion; data classification; data fusion; data imprecision; data monitoring; data selection; dynamically changing input data; fuzzy decision making; space application; Artificial intelligence; Computational intelligence; Computational modeling; Conferences; Data models; Decision making; Electronic mail;
Conference_Titel :
Intelligent Engineering Systems (INES), 2012 IEEE 16th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-2694-0
Electronic_ISBN :
978-1-4673-2693-3
DOI :
10.1109/INES.2012.6249834
