Representation for general type-2 fuzzy sets
Hong Mo; F.-Y Wang;
Representation for general type-2 fuzzy sets
How to represent a type-2 fuzzy set(T2 FS)is a key point to deal with type-2 fuzzy control and analysis. In the paper, T2 FSs are divided into four classes: discrete T2 FSs, partially connected T2 FSs, connected T2 FSs, and compounded T2 FSs, and the corresponding representation methods are provided, especially second-degree partition of CoS is presented to represent connected T2 FS.
- Chinese Academy of Sciences China (People's Republic of)
- State Key Laboratory of Complex System Management and Control China (People's Republic of)
- University of the Sciences United States
- Changsha University of Science and Technology China (People's Republic of)
- Institute of Automation China (People's Republic of)
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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