Algebraic structure and fuzzy action: A new solution to the classification problem
Antonio Gisolfi, Vincenzo Loia · 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis · 2002
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.>