Handbook of Granular Computing

By Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich. 2008

545 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/969d608c48c0ab9638015e8d7b9e7a8aee94e278

How researchers see this paper

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

In Computational Theory and Mathematics

1. Philip Chen
2. Chunming Zhang

Citations in the corpus

• Recent progress in semantic image segmentation (2018, background): “There are also many edgebased detection researches (Kimmel and Bruckstein 2003; Osher and Paragios 2003; Barghout 2014; Pedrycz et al. 2008;Barghout andLee 2003;Lindeberg andLi 1997).”
• Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014, background): “As granular computing (GrC) [142] is a general computation theory for effectively using granules such as classes, clusters, subsets, groups and intervals to build an efficient computational model for complex applications with huge amounts of data, information and knowledge, therefore it is very…”
• Concept learning via granular computing: A cognitive viewpoint (2014, unknown): “Besides, such an integration is also in accordance with characteristics of human thinking in which complex information is often divided into pieces, classes and groups [28].”