# Construction of Rough graph to handle uncertain pattern from an Information System

arXiv: https://arxiv.org/abs/2205.10127 · HTML: https://mlsanity.com/paper/2205.10127/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 26 references that are in the map.
- First posted on arXiv 17 May 2022.

## Built on by (most cited first, 1 of 1)

- [Even vertex zeta-graceful labeling on Rough Graph](https://mlsanity.com/paper/2208.12047/) (2022)

## Abstract (arXiv)

Rough membership function defines the measurement of relationship between conditional and decision attribute from an Information system. In this paper we propose a new method to construct rough graph through rough membership function ωGF(f). Rough graph identifies the pattern between the objects with imprecise and uncertain information. We explore the operations and properties of rough graph in various stages of its structure.