A survey on granular computing and its uncertainty measure from the perspective of rough set theory

• DOI: 10.1007/s41066-019-00204-3
• Publication Date: 2019-10-23T23:35:22Z
• Authors: Yunlong Cheng; Fan Zhao; Qinghua Zhang; Guoyin Wang
• Keywords: Granular Computing

Granular computing is an umbrella term to cover a series of theories, methodologies, techniques, and tools that make use of information granules in complex problem solving. Rough sets, as one of the main concrete models of granular computing, has attracted considerable attention and has been successfully applied to numerous kinds of fields. To show the basic ideas and principles of granular computing from the perspective of rough sets, the main models, uncertainty measures and applications of rough sets are surveyed in the paper.