DocumentCode
3224105
Title
A hybrid approach to decision making and problem analysis
Author
Sram, Norbert
Author_Institution
Obuda Univ., Budapest, Hungary
fYear
2010
fDate
24-26 June 2010
Firstpage
431
Lastpage
433
Abstract
Decision making can be regarded as an outcome of a cognitive process leading to the selection of a course of action among several alternatives. With the latest advances in decision making systems it is important to study which methods provide better results and in which fields, contexts. By creating a hybrid approach to decision making we can outline the performance and deviations between different methods, but more importantly we establish the foundation for building a hybrid decision making system. With the analysis of the decision making methods, we are able to build a hybrid decision making system, which is a composition and cooperation of different methods and uses the optimal methods for specific contexts. In this paper the author presents an approach to creating and evaluating hybrid decision making systems.
Keywords
decision making; optimisation; hybrid decision making system; optimal methods; problem analysis approach; Cognitive robotics; Control systems; Decision making; Decision trees; Diagnostic expert systems; Fuzzy logic; Medical diagnostic imaging; Medical expert systems; Medical treatment; Tree graphs;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics in Alpe-Adria-Danube Region (RAAD), 2010 IEEE 19th International Workshop on
Conference_Location
Budapest
Print_ISBN
978-1-4244-6885-0
Type
conf
DOI
10.1109/RAAD.2010.5524548
Filename
5524548
Link To Document