DocumentCode
1957360
Title
Fuzzy measures and integrals as aggregation operators: solving the commensurability problem
Author
Modave, François ; Kreinovich, Vladik
Author_Institution
Dept. of Comput. Sci., Texas Univ., El Paso, TX, USA
fYear
2002
fDate
2002
Firstpage
292
Lastpage
297
Abstract
The aim of this paper is to shed light on the use of fuzzy measures and integrals as aggregation operators in multicriteria decision making. These techniques have been widely used on an ad hoc basis, but with no axiomatization. It is possible to obtain preference representation theorems in multicriteria decision making problems, relying on a formal parallelism between decision under uncertainty and multicriteria decision making. Though, it raises some commensurability problems. In this paper, we show how to obtain an axiomatization of multicriteria decision making problems, in a very natural way, and we show how to solve the commensurability problem in a particular case.
Keywords
decision theory; fuzzy set theory; integration; operations research; aggregation operators; axiomatization; commensurability problems; fuzzy integrals; fuzzy measures; multicriteria decision making; preference representation theorems; uncertainty; Decision making; Decision theory; Fuzzy sets; Multidimensional systems; Stock markets; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN
0-7803-7461-4
Type
conf
DOI
10.1109/NAFIPS.2002.1018072
Filename
1018072
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