Paper Info
Title
Local and Global Similarities in Fuzzy Class Theory.
Abstract
Similarity is a central issue in many topics from psychology to artificial intelligence. In the present paper we want to contribute to the study of the similarity relation between objects represented as attribute-value pairs in the logical context. Following the idea that similarity is a phenomena essentially fuzzy, we introduce fuzzy similarities and prove some logical properties in the framework of Fuzzy Class Theory based on the logic MTL Delta. We prove that the global similarity inherits the usual properties of the local similarities (reflexivity, symmetry, transitivity). We also show that similar objects have similar properties, being these properties expressed by MTL Delta for all formulas evaluated in these objects.
Year
DOI
Venue
2014
10.3233/978-1-61499-452-7-205
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
Similarity Relation,Fuzzy Class Theory,Attribute-Value Representation
Computer science,Fuzzy logic,Artificial intelligence
Conference
Volume
ISSN
Citations 
269
0922-6389
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Eva Armengol131532.24
Pilar Dellunde215622.63
Àngel García-Cerdaña37110.05