2007 IEEE International Conference on Granular Computing (GRC 2007) Rough Set Approximations Based on Random Sets San Jose, California November 02-November 04 ISBN: 0-7695-3032-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GrC.2007.22
In this paper, the concept of a random rough set which includes the mechanisms of numeric and non-numeric as- pects of uncertain knowledge is introduced. It is shown that for any belief structure and its inducing belief and plausi- bility measures there exists a random approximation space such that the associated lower and upper probabilities are respectively the given belief and plausibility measures, and vice versa. And for a random approximation space gener- ated from a totally random set, its inducing lower and upper probabilities are respectively necessity and possibility mea- sures.
Citation:
Wei-Zhi Wu, "Rough Set Approximations Based on Random Sets," grc, pp.213, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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