Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation

By Qinghua Hu, Zongxia Xie, Daren Yu. Pattern Recognition, 2007

415 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems

View Paper: https://www.semanticscholar.org/paper/38ab3f137f438bcaa0674f13577fa8606b0899a7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Y. Qian
2. Jiye Liang
3. Jinxi Zhao
4. Chuangyin Dang
5. Shen Furao
6. Witold Pedrycz
7. Ren Zhang
8. Ganeshsree Selvachandran

In Computational Theory and Mathematics

1. Y. Qian
2. Jiye Liang
3. Jinxi Zhao
4. Chuangyin Dang
5. Shen Furao
6. Witold Pedrycz
7. Ren Zhang
8. Yiyu Yao

In Information Systems

1. Y. Qian
2. Jinxi Zhao
3. Chuangyin Dang
4. Shen Furao
5. Witold Pedrycz
6. Ren Zhang
7. Jiye Liang

Citations in the corpus

• A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting (2014, methodology): “The concept of information granularity is employed in the fields such as information retrieval [16] and attribute reduction [17].”
• Positive approximation: An accelerator for attribute reduction in rough set theory (2010, background): “measures can be divided into two main categories: distance-based measures and consistency-based measures [20].”