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
Link To Document :
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