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On penalty-based aggregation functions and consensus Beliakov, Gleb, Calvo, Tomasa and James, Simon 2011, On penalty-based aggregation functions and consensus, in Consensual processes, Springer-Verlag, Berlin, Germany, pp.23-40. Title On penalty-based aggregation functions and consensus Author(s) Beliakov, Gleb Calvo, Tomasa James, Simon Title of book Consensual processes Editor(s) Herrera-Viedma, Enrique Garcia-Lapresta, José Luis Kacprzyk, Janusz Fedrizzi, Mario Nurmi, Hannu Zadrozny, Slawomir Publication date 2011 Series Studies in fuzziness and soft computing; v. 267 Chapter number 2 Total chapters 21 Start page 23 End page 40 Total pages 18 Publisher Springer-Verlag Place of Publication Berlin, Germany Keyword(s) penalty-based aggregation functions Summary The problem of aggregating individual preferences in order to arrive at a group consensus arises naturally in elections where a candidate must be chosen that best represents the individuals’ differing opinions. Other contexts include the judging of sporting competitions and the fusion of sensor readings. In these applications it makes sense that the aggregated result should be as close as possible to the individual inputs, giving rise to the need for methods that minimize this difference. Penalty-based aggregation functions are precisely those functions that aim to accomplish this, drawing upon various notions of “difference” in varying situations. ISBN 9783642205323 9783642205330 3642205321 ISSN 1434-9922 Language eng Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category B1 Book chapter HERDC collection year 2011 Copyright notice ©2011, Springer-Verlag Persistent URL http://hdl.handle.net/10536/DRO/DU:30043130 Document type: Book Chapter Collection: School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 13 Mar 2012, 09:46:05 EST Mon, 02 Apr 2012, 16:24:18 EST Mon, 02 Apr 2012, 16:27:44 EST Tue, 08 May 2012, 10:47:57 EST Tue, 08 May 2012, 11:06:19 EST Mon, 21 Oct 2013, 13:01:49 EST Filtered Full Access Statistics: 49 Abstract Views, 6 File Downloads  -  Detailed Statistics Created: Tue, 13 Mar 2012, 09:46:05 EST

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