Title
Aggregation functions and contradictory information
Abstract
The aim of this paper is to analyze the behavior of aggregation functions when the inputs are contradictory. This may be a useful criterion helping to choose the most appropriate function for solving a given problem. With that goal, bivariate aggregation functions are classified depending on the output they associate to contradictory couples of the form (x,N(x)), where N is a strong negation. The main properties of the newly defined classes are studied. Examples of functions in each class are provided, paying special attention to the most important families of aggregation functions, such as t-norms, copulas, symmetric sums, uninorms or nullnorms.
Year
DOI
Venue
2012
10.1016/j.fss.2011.10.007
Fuzzy Sets and Systems
Keywords
Field
DocType
appropriate function,aggregation function,special attention,strong negation,important family,contradictory couple,main property,contradictory information,symmetric sum,useful criterion,bivariate aggregation function
Discrete mathematics,Negation,Of the form,Copula (linguistics),Bivariate analysis,Mathematics
Journal
Volume
ISSN
Citations 
191,
0165-0114
7
PageRank 
References 
Authors
0.45
23
3
Name
Order
Citations
PageRank
Ana Pradera115916.09
Gleb Beliakov298978.95
Humberto Bustince31938134.10