Perspectives of granular computing

By Yiyu Yao. IEEE International Conference on Granular Computing, 2005

331 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/c3c47feea7633d6dd0f3c81a053c7ad3f542a70f

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. Yiyu Yao
2. Y. Qian
3. Witold Pedrycz
4. Jiye Liang
5. Chuangyin Dang
6. Andrzej Skowron
7. Vladik Kreinovich
8. Athanasios V. Vasilakos

In Computational Theory and Mathematics

1. Yiyu Yao
2. Y. Qian
3. Jiye Liang
4. Witold Pedrycz
5. Chuangyin Dang
6. Athanasios V. Vasilakos
7. Jingtao Yao
8. Andrzej Skowron

Citations in the corpus

• MGRS: A multi-granulation rough set (2010, background): “In the view of granular computing, an equivalence relation on the universe can be regarded as a granulation, and a partition on the universe can be regarded as a granulation space [13,14,20,22,37–39].”
• Handbook of Granular Computing (2008, methodology): “Zadeh [11] are directly related to an earlier development and more general set function theory (see, e.”
• Incomplete Multigranulation Rough Set (2010, background): “In view of granular computing, an equivalence relation (or a tolerance relation) on the universe can be regarded as a granulation, and a partition (or a cover) on the universe can be regarded as a granulation space [19], [53], [54].”
• Granular Computing: Perspectives and Challenges (2013, background): “Granular computing is often loosely regarded as an umbrella term to cover theories, methodologies, techniques, and tools that make use of granules in complex problem solving [104].”