Abstract
Recently, the decision tables used in decision-theoretic rough sets are the most complete decision tables and less for incomplete decision tables. Some authors use the filling method to deal with incomplete decision table of DTRS, which is filling the unknown values with all possible values. Its disadvantages are large calculated amount and noise. Therefore, incomplete decision-theoretic rough set model based on improved complete tolerance relation is proposed. First, improved complete tolerance relation and tolerance class were constructed. Then, the decision degree between object and target concept were also computed. Finally, the decision degree was served as conditional probability; the probability positive region, negative region, and boundary region were computed, and it would make three-way decision. The example shows that this model has less calculated amount and noise, and it more accords with practical application.
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Wang, X. (2014). Incomplete Decision-Theoretic Rough Set Model Based on Improved Complete Tolerance Relation. In: Wong, W.E., Zhu, T. (eds) Computer Engineering and Networking. Lecture Notes in Electrical Engineering, vol 277. Springer, Cham. https://doi.org/10.1007/978-3-319-01766-2_32
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DOI: https://doi.org/10.1007/978-3-319-01766-2_32
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