Knowledge Acquisition Approach Based on Fuzzy-rough Set
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Abstract:
A new method of knowledge acquisition based on fuzzy - rough set is proposed. The continuous attributes in the decision table are fuzzified with the fuzzy membership functions. Lower and upper approximation of fuzzy - rough set are obtained by defining fuzzy equivalence relation. According to them the decision rules are acquired. At last, an example is illustrated and proves that the approach is effective.
