Output details
11 - Computer Science and Informatics
University of Essex
Article title
A Type-2 Fuzzy Ontology and its Application to Personal Diabetic Diet Recommendation
Type
D - Journal article
Title of journal
IEEE Transactions on Fuzzy Systems
Article number
-
Volume number
18
Issue number
2
First page of article
374
ISSN of journal
1063-6706
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
<22>The paper presented the first type-2 fuzzy logic based ontology to deal with the imprecise and vague knowledge for real world applications like personal diabetic diet recommendation. The paper also presented the first real-world type-2 fuzzy logic healthcare application which is currently applied to plan diabetic’s diets in Taiwan Hospitals which outperforms the traditional mechanisms. (Contact: Chang-Shing Lee (email: leecs@mail.nutn.edu.tw))
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Artificial Intelligence
Citation count
55
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-