DocumentCode :
3076430
Title :
Computational framework for the method of decision making with imprecise probabilities
Author :
Musayev, A.F. ; Alizadeh, A.V. ; Guirimov, B.G. ; Huseynov, O.H.
Author_Institution :
Azerbaijan Univ., Baku, Azerbaijan
fYear :
2009
fDate :
2-4 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
The paper is devoted to the development of a computational framework for one of the progressively developing methods for decision making under uncertainty, the method using a non-expected fuzzy-number-valued utility function represented by a fuzzy integral with fuzzy-number-valued fuzzy measure. The method and the underlying computational framework have shown its effectiveness tested on a set of examples.
Keywords :
decision making; fuzzy set theory; probability; utility theory; computational framework; decision making; fuzzy integral; fuzzy-number-valued fuzzy measure; imprecise probability; non-expected fuzzy-number-valued utility function; Computer networks; Control systems; Decision making; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Petroleum; Probability; Testing; differential evolution; fuzzy Choquet integral; fuzzy measure; fuzzy utility function; imprecise probabilities; neural networks; nonexpected utilit; second-order uncertainty; soft computingy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, 2009. ICSCCW 2009. Fifth International Conference on
Conference_Location :
Famagusta
Print_ISBN :
978-1-4244-3429-9
Electronic_ISBN :
978-1-4244-3428-2
Type :
conf
DOI :
10.1109/ICSCCW.2009.5379428
Filename :
5379428
Link To Document :
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