@inproceedings{DBLP:conf/aldt/PigozziST09,
  abstract = {Judgment aggregation is a formal theory reasoning about how a group of agents can aggregate individual judgments on connected propositions into a collective judgment on the same propositions. Three procedures for successfully aggregating judgments sets are: premise-based procedure, conclusion-based procedure and distance-based merging. The conclusion-based procedure has been little investigated because it pro- vides a way to aggregate the conclusions, but not the premises, thus it outputs an incomplete judgment set. The goal of this paper is to present a conclusion-based procedure outputting complete judgment sets.},
  affiliation = {icr},
  author = {Gabriella Pigozzi and Marija Slavkovik and Leendert van der Torre},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {Algorithmic Decision Theory, First International Conference, ADT 2009, Venice, Italy, October 20-23, 2009. Proceedings},
  date-modified = {2011-12-21 13:24:42 +0100},
  editor = {Francesca Rossi and Alexis Tsouki{\`a}s},
  ee = {http://dx.doi.org/10.1007/978-3-642-04428-1_1},
  isbn = {978-3-642-04427-4},
  pages = {1-13},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {A Complete Conclusion-Based Procedure for Judgment Aggregation},
  url = {http://www.springerlink.com/content/ng726986734h5103/},
  volume = {5783},
  year = {2009}
}