| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9651061 | Information Sciences | 2005 | 10 Pages |
Abstract
Type II fuzzy sets are a generalization of the ordinary fuzzy sets in which the membership value for each member of the set is itself a fuzzy set in [0,1]. We introduce a similarity measure for measuring the similarity, or compatibility, between two type-II fuzzy sets. With this new similarity measure we show that type-II fuzzy sets provide us with a natural language for formulating classification problems in pattern recognition.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
H.B. Mitchell,