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