Journal
GRANULAR COMPUTING
Volume 6, Issue 1, Pages 3-17Publisher
SPRINGERNATURE
DOI: 10.1007/s41066-019-00204-3
Keywords
Granular computing; Rough sets; Granules; Uncertainty measure; Approximation sets
Funding
- National Natural Science Foundation of China [61876201]
- National Key Research and Development Program of China [2017YFC0 804002]
- Science and Technology Research Project of Chongqing Municipal Education Commission [KJQN201800624]
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Granular computing is a method that uses information granules to solve complex problems, with rough sets being one of the main models that has been successfully applied in various fields. This paper surveys the main models, uncertainty measures, and applications of rough sets to demonstrate the basic ideas and principles of 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.
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