DocumentCode
2364168
Title
Algebraic structure and fuzzy action: A new solution to the classification problem
Author
Gisolfi, Antonio ; Loia, Vincenzo
Author_Institution
Dipartimento di Inf., Salerno Univ., Italy
fYear
1993
fDate
25-28 Apr 1993
Firstpage
447
Lastpage
454
Abstract
Significant progress in the classification problem has been reported mainly in the field of machine learning. The authors present meaningful results obtained via a new classification strategy which is based on an algebraic structure able to classify qualitative information. The structure is defined to handle ordered strings that are induced by fuzzy attributes. To prove the truthfulness of the approach, the strategy is compared with six well-known proposals on the same case study
Keywords
classification; computational linguistics; fuzzy set theory; inference mechanisms; learning (artificial intelligence); algebraic structure; classification problem; classification strategy; fuzzy action; fuzzy attributes; machine learning; ordered strings; qualitative information; truthfulness; Fuzzy sets; Machine learning; Proposals;
fLanguage
English
Publisher
ieee
Conference_Titel
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location
College Park, MD
Print_ISBN
0-8186-3850-8
Type
conf
DOI
10.1109/ISUMA.1993.366730
Filename
366730
Link To Document