Title
Joint consensus evaluation of multiple objects on an ordinal scale: An approach driven by monotonicity.
Abstract
•We consider the problem of obtaining the consensus evaluation of multiple objects.•Different notions of consensus are analysed.•We propose a method based on the search for monotonicity.•Three real-world data sets illustrate the use of the presented method.
Year
DOI
Venue
2018
10.1016/j.inffus.2017.09.009
Information Fusion
Keywords
Field
DocType
Consensus evaluation,Ordinal scale,Monotonicity,Monometric
Recommender system,Monotonic function,Ranking,Ordinal Scale,Metric (mathematics),Artificial intelligence,Perception,Machine learning,Mathematics,Group decision-making
Journal
Volume
ISSN
Citations 
42
1566-2535
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Raúl Pérez-Fernández13813.47
Marc Sader201.35
Bernard De Baets32994300.39