Title
Information Boundedness Principle in Fuzzy Inference Process
Abstract
The information boundedness principle requires that the knowledge obtained as a result of an inference process should not have more information than that contained in the consequent of the rule. From this point of view relevancy transformation operators as a generalization of implications are investigated.
Year
Venue
Keywords
2002
KYBERNETIKA
specicity,copula,ret operator
DocType
Volume
Issue
Journal
38
3
ISSN
Citations 
PageRank 
0023-5954
1
0.40
References 
Authors
3
2
Name
Order
Citations
PageRank
Peter Sarkoci111312.64
Michal Sabo273.00