DocumentCode :
2307596
Title :
A threshold for majority in the context of aggregating partial order relations
Author :
Rademaker, Michaël ; De Baets, Bernard
Author_Institution :
Dept. of Appl. Math., Biometrics & Process Control, Ghent Univ., Ghent, Belgium
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
4
Abstract :
We consider a voting problem where voters have expressed their preferences on a single set of objects. These preferences take the shape of strict partial order relations. In order to allow extraction of a unique strict partial order relation corresponding to a social set of preferences, we determine the minimum number of votes a pairwise preference should receive in order to qualify as a social pairwise preference. Transitive closure of the social pairwise preferences will result in the social set of preferences. At the same time, the social set of preferences needs to be cycle-free, and the minimum number of votes should be determined with this constraint in mind. We provide an example application.
Keywords :
learning (artificial intelligence); aggregating partial order relations; majority threshold; social pairwise preferences; strict partial order relations; voting problem; Lead; Noise measurement; Pollution; Pollution measurement; Shape; Upper bound; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5584342
Filename :
5584342
Link To Document :
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