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Attribute reduction is an important problem in an information system. The paper proposed a novel method to reduce the redudant attributes in an incomplete information system based on rough set theory. The method introduce the concepts such as upper-approximate relationship and lower-approximate relationship, equivalence relationship, tolerance relationship, attribute significance and so on, to calculate...
To deal with the risk recognition from the complex risk management, a novel risk recognition method was studied through rule extration based on rough set. According to the indiscernible relation in rough set, a formula to compute attribute importance is put forward based on the concept of similar matrix and attribute frequency in the matrix, which is used as heuristic knowledge in deciding the sequence...
To make multiattribute decision with incomplete information, the paper proposed a method based on rough set. The paper defined the concepst of breaking points, scan vector and the addition of scan vector to recover the incomplete information system through rough set. Then introduced OWA (ordered weighted averaging) operators to calculate the aggregation value of each project. Finally, obtained the...
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