Paper Info
Title
A Preliminary Study of the Effects of Different Aggregation Operators on Consensus Processes
Abstract
Searching for consensus in group decision making is a process in which experts change their preferences in order to achieve a minimum agreement before making a decision. Computing the consensus degree among experts and the group collective opinion by aggregating experts’ opinions are two main tasks in a consensus reaching process. In this contribution we have studied the effects of different aggregation operators on the consensus processes. In particular, we have analyzed the obtained outcomes by three different aggregation operators: arithmetic mean, OWA with the linguistic quantifier “most” and Dependent OWA. Finally, some preliminary conclusions about the obtained results and the influence of these aggregation operations on consensus processes are drawn
Year
DOI
Venue
2009
10.1109/ISDA.2009.72
ISDA
Keywords
Field
DocType
linguistic quantifier,consensus processes,aggregation operation,different aggregation operator,consensus process,group collective opinion,main task,different aggregation operators,preliminary study,aggregating expert,dependent owa,group decision making,consensus degree,probability density function,consensus,computational modeling,data mining,arithmetic mean
Computer science,Arithmetic mean,Artificial intelligence,Operator (computer programming),Probability density function,Machine learning,Group decision-making
Conference
ISSN
Citations 
PageRank 
2164-7143
1
0.36
References 
Authors
8
3
Name
Order
Citations
PageRank
F. Mata173023.63
Luis Martínez22667109.59
J. C. Martínez3554.41