DocumentCode
1673106
Title
Query evaluation from linguistic prototypes
Author
Lawry, Jonathan
Author_Institution
Dept. of Eng. Math., Bristol Univ., UK
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
39
Lastpage
42
Abstract
A framework for modelling with words is introduced based on label semantics. It is shown how within this framework that linguistic prototypes, defined as vectors of mass assignments on sets of labels, can be used to evaluate linguistic queries. This provides a flexible knowledge representation framework for data mining and knowledge discovery as well as an environment well suited to information fusion and modelling with words in general
Keywords
data mining; fuzzy logic; fuzzy set theory; knowledge representation; learning (artificial intelligence); query processing; data mining; flexible knowledge representation framework; information fusion; knowledge discovery; label semantics; linguistic prototypes; mass assignments; modelling with words; query evaluation; vectors; Biomedical engineering; Data analysis; Data mining; Design engineering; Knowledge representation; Mathematical model; Mathematics; Power system modeling; Prototypes; Query processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location
Melbourne, Vic.
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1007240
Filename
1007240
Link To Document