Generalization Data Mining of Imprecise Forms of Information Using Intuitionistic and Interval-Valued Fuzzy Set Approaches
Research Updates in Mathematics and Computer Science Vol. 2,
29 March 2024
,
Page 70-88
https://doi.org/10.9734/bpi/rumcs/v2/8045E
Abstract
Data mining refers to a variety of techniques in fields of databases, machine learning and pattern recognition. The intent is to obtain useful patterns and associations from large collection of data. The approach we consider is the use of attribute generalization using concept hierarchies. We will consider heterogeneous data with uncertainty; in particular we extend the previous techniques for fuzzy sets to data represented by intuitionistic or interval-valued fuzzy sets.
Keywords:
- Data mining
- attribute generalization
- concept hierarchies
- interval-valued fuzzy sets
- intuitionistic valued fuzzy sets
- generalization
How to Cite
Petry, F. . (2024). Generalization Data Mining of Imprecise Forms of Information Using Intuitionistic and Interval-Valued Fuzzy Set Approaches. Research Updates in Mathematics and Computer Science Vol. 2, 70–88. https://doi.org/10.9734/bpi/rumcs/v2/8045E
