Knowledge Reduction in Random Incomplete Decision Tables via Evidence Theory
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
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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.