Title
Relational measures and integration in preference modeling
Abstract
Based on a set of criteria and a measuring lattice, we introduce relational measures as generalizations of fuzzy measures. The latter have recently made their way from the interval [0,1]⊆R to the ordinal or even to the qualitative level. We proceed further and introduce relational measures and relational integration. First ideas of this kind, but for the real-valued linear orderings stem from Choquet (1950s) and Sugeno (1970s). We generalize to not necessarily linear orders and handle it algebraically and in a point-free manner. We thus open this area of research for treatment with theorem provers which would be extremely difficult for the classical presentation of Choquet and Sugeno integrals. Our specification of the relational integral is operational. It can immediately be translated into the programming language of RelView and, hence, the tool can be used for solving practical problems.
Year
DOI
Venue
2008
10.1016/j.jlap.2007.10.001
The Journal of Logic and Algebraic Programming
Keywords
Field
DocType
Relational measure,Relational integral,Choquet integral,Sugeno integral,Relation algebra,Evidence and belief,Plausibility measure
Codd's theorem,Discrete mathematics,Relational calculus,Lattice (order),Ordinal number,Generalization,Statistical relational learning,Fuzzy measure theory,Fuzzy logic,Mathematics
Journal
Volume
Issue
ISSN
76
1
1567-8326
Citations 
PageRank 
References 
4
0.41
3
Authors
2
Name
Order
Citations
PageRank
Gunther Schmidt120330.70
Rudolf Berghammer256976.48