Situation assessment method based on rough-vague sets and D-S evidence theory

Considering the requirement to domain knowledge in event detection of situation assessment, a method based on rough-vague sets and D-S evidential theory was proposed for situation assessment. Rough sets and vague sets are used to conduct event detection, it establish event decision table by target historical data, and through the attribute reduction get reducted event decision table. An approach to getting vague sets of target event by the table is put forward, then according to the similarity measure between vague sets establish evaluation coefficient to determine the event rusult. Target events at different times are evidences, using the evidence combination rule determine situation assessment results. An example was shows that the process of event detection doesn´t need to any domain knowledge and the method has a strongly focus ability to the uncertainty of the situation result.