Paper Info
Title
Interpretation of group measurements of validation data using fuzzy techniques in an object-oriented approach
Abstract
Fuzzy logic is particularly indicated for representing the uncertainty associated with the processes that take place in non-probabilistic systems. It is also useful for the linguistic quantification of sets in which the classification of concepts and events is affected by semantic imprecision. We describe a fuzzy method designed to assist with interpretations of group measurements obtained from validation data for intelligent systems operating in complex domains. The method described was implemented applying an object-oriented paradigm. The suitability of using fuzzy methods and an object-oriented approach are both discussed in the article.
Year
DOI
Venue
2006
10.1007/11893011_143
KES (3)
Keywords
Field
DocType
object-oriented paradigm,fuzzy logic,semantic imprecision,fuzzy method,fuzzy technique,group measurement,non-probabilistic system,object-oriented approach,intelligent system,validation data,linguistic quantification,complex domain
Data mining,Neuro-fuzzy,Knowledge representation and reasoning,Intelligent decision support system,Object-oriented programming,Computer science,Fuzzy logic,Artificial intelligence,Knowledge engineering,Semantics,Distributed computing
Conference
Volume
ISSN
ISBN
4253
0302-9743
3-540-46542-1
Citations 
PageRank 
References 
1
0.37
2
Authors
2
Name
Order
Citations
PageRank
Eduardo Mosqueira-Rey19311.62
Vicente Moret-Bonillo220126.17