Condition for neighborhoods in covering based rough sets to form a partition
Hua Yao, William Zhu

TL;DR
This paper establishes a direct necessary and sufficient condition for neighborhoods in covering-based rough sets to form a partition, focusing on the covering's structure rather than all neighborhoods, and introduces new concepts like uniform blocks, repeat degree, and excluded number.
Contribution
It provides a novel, direct criterion based on the covering itself for when neighborhoods form a partition, advancing understanding in covering-based rough set theory.
Findings
Identifies the influence of reducible elements on neighborhoods.
Introduces the concepts of uniform block, repeat degree, and excluded number.
Derives a necessary and sufficient condition for neighborhoods to form a partition.
Abstract
Neighborhood is an important concept in covering based rough sets. That under what condition neighborhoods form a partition is a meaningful issue induced by this concept. Many scholars have paid attention to this issue and presented some necessary and sufficient conditions. However, there exists one common trait among these conditions, that is they are established on the basis of all neighborhoods have been obtained. In this paper, we provide a necessary and sufficient condition directly based on the covering itself. First, we investigate the influence of that there are reducible elements in the covering on neighborhoods. Second, we propose the definition of uniform block and obtain a sufficient condition from it. Third, we propose the definitions of repeat degree and excluded number. By means of the two concepts, we obtain a necessary and sufficient condition for neighborhoods to form…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRough Sets and Fuzzy Logic · Image Processing and 3D Reconstruction
