Title
A Logical Study of Local and Global Graded Similarities
Abstract
In this work we study the relationship between global and local similarities in the graded framework of fuzzy class theory FCT, in which there already exists a graded notion of similarity. In FCT we can express the fact that a fuzzy relation is reflexive, symmetric, or transitive up to a certain degree, and similarity is defined as a first-order sentence, which is the fusion of three sentences corresponding to the graded notions of reflexivity, symmetry, and transitivity. This allows us to speak in a natural way of the degree of similarity of a relation. We consider global similarities defined from local similarities using t-norms as aggregation operators, and we obtain some results in the framework of FCT that, adequately interpreted, allow us to say that when we take a t-norm as an aggregation operator, the properties of reflexivity, symmetry, and transitivity of fuzzy binary relations are inherited from the local to the global level, and that the global similarity is a congruence if some of the local similarities are congruences.
Year
DOI
Venue
2015
10.1080/08839514.2015.1026657
Applied Artificial Intelligence
Field
DocType
Volume
Reflexivity,Algebra,Binary relation,Computer science,Fuzzy logic,Artificial intelligence,Operator (computer programming),Congruence relation,Congruence (geometry),Sentence,Machine learning,Transitive relation
Journal
29
Issue
ISSN
Citations 
5
0883-9514
1
PageRank 
References 
Authors
0.35
9
3
Name
Order
Citations
PageRank
Eva Armengol131532.24
Pilar Dellunde215622.63
Àngel García-Cerdaña37110.05