Title :
Label prototypes for modelling with words
Author_Institution :
Dept. of Eng. Math., Bristol Univ., UK
Abstract :
This paper suggests a framework for modelling with words using label prototypes. The underlying methods are based on a random set label semantics together with the voting model interpretation of fuzzy sets. The potential of this methodology will be illustrated by its application to classification problems
Keywords :
fuzzy set theory; inference mechanisms; fuzzy sets; label descriptions; label semantics; mass assignments; modelling with words; prototypes; random sets; voting model; Design engineering; Fuzzy sets; Inference mechanisms; Mathematical model; Mathematics; Natural languages; Prototypes; Psychology; Voting;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943720
