Generalization Data Mining of Imprecise Forms of Information Using Intuitionistic and Interval-Valued Fuzzy Set Approaches

Petry, Fred (2024) Generalization Data Mining of Imprecise Forms of Information Using Intuitionistic and Interval-Valued Fuzzy Set Approaches. In: Research Updates in Mathematics and Computer Science Vol. 2. B P International, pp. 70-88. ISBN 978-81-971889-7-8

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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.

Item Type: Book Section
Subjects: STM Academic > Mathematical Science
Depositing User: Unnamed user with email support@stmacademic.com
Date Deposited: 03 Apr 2024 09:30
Last Modified: 03 Apr 2024 09:30
URI: http://article.researchpromo.com/id/eprint/2262

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