Title :
Criteria classification Intelligent Decision Support Systems
Author :
Kuceba, Robert ; Kieltyka, Leszek
Author_Institution :
Dept. of Manage. Inf. Syst., Czestochowa Univ. of Technol., Czestochowa, Poland
Abstract :
The paper presents the classification of Intelligent Decision Support Systems (IDSS) generated and realizing decision making tasks with the use of artificial intelligence. The classification with regard to their functional decision making complexity has been conducted on the basis of the proposed method of Decision Support Systems gradation - The Method of Decision Support Systems Gradation (MDSSG). The authors have introduced a sample IDDS structure and stages of its implementation in the management processes of small scale power plant operation.
Keywords :
artificial intelligence; decision making; decision support systems; artificial intelligence; criteria classification; functional decision making complexity; intelligent decision support system gradation; power plant operation; Artificial intelligence; Character generation; Databases; Decision making; Decision support systems; Econometrics; Intelligent systems; Learning; Management information systems; Paper technology; Intelligent Decision Support Systems; artificial intelligence; decision making process;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3