Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
Attribute Reduction of Set-Valued Decision Information System
verfasst von : Jun Hu, Siyu Huang, Rui Shao
Erschienen in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
In practice, we may obtain data which is set-valued due to the limitation of acquisition means or the requirement of practical problems. In this paper, we focus on how to reduce set-valued decision information systems under the disjunctive semantics. First, a new relation to measure the degree of similarity between two set-valued objects is defined, which overcomes the limitations of the existing measure methods. Second, an attribute reduction algorithm for set-valued decision information systems is proposed. At last, the experimental results demonstrate that the proposed method can simplify set-valued decision information systems and achieve higher classification accuracy than existing methods.