On penalty based aggregation functions and consensus

http://www.springerlink.com/content/85n039407384771j/

Authors:  G. Beliakov, T. Calvo, S. James

Book Title:  Consensual Processes

Date Accepted: 30 September 2010

Abstract

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.

 

 

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