Title :
Query evaluation from linguistic prototypes
Author_Institution :
Dept. of Eng. Math., Bristol Univ., UK
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007240
