A method for incremental updating three-way decision with incomplete information system
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https://doi.org/10.54939/1859-1043.j.mst.83.2022.59-71Keywords:
Rough Sets; Incomplete Information Systems; Three-way Decisions; Incremental Learning.Abstract
In recent years, the three-way decisions theory has been developed in both theoretical and practical applications. In fact, data are often incomplete and often change over time. To solve this problem, a method of updating the three-way decisions in the dynamic incomplete information system is proposed. First, we consider the relationship between the change of conditional probabilities for the change of the three regions. Then, we consider the change of conditional probability when objects and attribute values of the object change. From that change, we propose a method for updating three-way decisions for two situations, namely, the objects vary, and the attribute values of an object vary. Finally, we give an example to illustrate this method.
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