Attributes Reduction on SE-ISI Concept Lattice for an Incomplete Context Using Object Ranking

Attributes Reduction on SE-ISI Concept Lattice for an Incomplete Context Using Object Ranking

The formal concept of lattice plays a vital role in knowledge discovery. Reduction of the attribute has many applications in machine learning technology and data mining fields. In this paper, we introduce an object ranking concept to define a consistency set and the reduction of the attributes by st...

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Bibliographic Details
Main Authors: B. Srirekha, Shakeela Sathish, R. Narmada Devi, Miroslav Mahdal, Robert Cep, K. Elavarasan
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
indiscernibility relation
granular lattice
object ranking
SE-ISI formal context
attribute reduction
Online Access:https://www.mdpi.com/2227-7390/11/7/1585

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https://www.mdpi.com/2227-7390/11/7/1585

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