Title
Penalty-Based Functions Defined by Pre-aggregation Functions.
Abstract
Pre-aggregation function (PAF) is an important concept that has emerged in the context of directional monotonicity functions. Such functions satisfy the same boundary conditions of an aggregation functions, but it is not required the monotone increasingness in all the domain, just in some fixed directions. On the other hand, penalty functions is another important concept for decision making applications, since they can provide a measure of deviation from the consensus value given by averaging aggregation functions, or a penalty for not having such consensus. This paper studies penalty-based functions defined by PAFs. We analyse some properties (e.g.: idempotency, averaging behavior and shift-invariance), providing a characterization of idempotent penalty-based PAFs and a weak characterization of averaging penalty-based PAFs. The use of penalty-based PAFs in spatial/tonal filters is outlined.
Year
DOI
Venue
2018
10.1007/978-3-319-91476-3_34
Communications in Computer and Information Science
Keywords
Field
DocType
Pre-aggregation function,Penalty function,Idempotency,Shift-invariance,Average function,Spatial/tonal filters
Boundary value problem,Monotonic function,Applied mathematics,Idempotence,Monotone polygon,Mathematics,Penalty method
Conference
Volume
ISSN
Citations 
854
1865-0929
1
PageRank 
References 
Authors
0.35
18
6
Name
Order
Citations
PageRank
Graçaliz Pereira Dimuro166743.93
Radko Mesiar23778472.41
Humberto Bustince31938134.10
Benjamín C. Bedregal475551.96
José Antonio Sanz542923.40
Giancarlo Lucca6734.60