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
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;
Conference_Titel :
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-3850-8
DOI :
10.1109/ISUMA.1993.366730
