DocumentCode :
2974290
Title :
A prioritized measure for multi-criteria aggregation and its Shapley index
Author :
Yager, Ronald R. ; Walker, Carol L. ; Walker, Elbert A.
Author_Institution :
Machine Intell. Inst., Iona Coll., New Rochelle, NY, USA
fYear :
2011
fDate :
18-20 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
We focus on a particular type of multi-criteria aggregation imperative called prioritized aggregation. This imperative is characteristic of situations where lack of satisfaction for criteria denoted as higher priority cannot be compensated by increased satisfaction for those denoted as lower priority. We consider an approach to the formulation of this type of aggregation process based on an integral type aggregation using a special monotonic set measure to convey the prioritized imperative. In order to get a better understanding of this measure we look at its Shapley index.
Keywords :
artificial intelligence; decision making; set theory; Shapley index; integral type aggregation; monotonic set measurement; multicriteria aggregation; prioritized aggregation; Decision making; Indexes; Machine intelligence; Open wireless architecture; Q measurement; Security; Weight measurement; aggregation operator; information fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
Conference_Location :
El Paso, TX
ISSN :
Pending
Print_ISBN :
978-1-61284-968-3
Electronic_ISBN :
Pending
Type :
conf
DOI :
10.1109/NAFIPS.2011.5751955
Filename :
5751955
Link To Document :
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