DocumentCode :
3443516
Title :
Intelligent system design support by fuzzy-multi-criteria decision making and/or evolutionary algorithms
Author :
Zimmermann, H.-J. ; Sebastian, H.J.
Author_Institution :
Rheinisch-Westfalisches Tech. Hochschule Aachen, Germany
Volume :
1
fYear :
1995
fDate :
20-24 Mar 1995
Firstpage :
367
Abstract :
The complexity of the environment, in which strategic decisions are made, seems to be the main reason why intelligent decision support systems (IDSS, also called active DSS - ADSS) are needed. There are several reasons for the complexity: the information and knowledge for the decisions is incomplete, uncertain or imprecise or even inconsistent, the information overload is still increasing, there are multiple, often conflicting goals and multiple different type constraints, there are time constraints for the decisions in a changing environment, and there is a tendency towards group decision making. The authors present methods, technologies and techniques for the development of IDSS
Keywords :
decision support systems; fuzzy logic; knowledge based systems; ADSS; IDSS; active DSS; evolutionary algorithms; fuzzy-multicriteria decision making; group decision-making; information overload; intelligent DSS; intelligent decision support systems; type constraints; Artificial intelligence; Data analysis; Decision making; Decision support systems; Evolutionary computation; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Intelligent systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
Type :
conf
DOI :
10.1109/FUZZY.1995.409705
Filename :
409705
Link To Document :
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