Abstract
We have been proposing a framework Rough Non-deterministic Information Analysis (RNIA), which handles rough sets based concepts in not only Deterministic Information Systems (DISs) but also Non- deterministic Information Systems (NISs). We have recently developed some algorithms and software tools for rule generation from a NIS. Obtained rules characterize the tendencies in a NIS, and they are often applied to a decision making. However, if the condition parts in such rules are not satisfied, obtained rules are not applied to a decision making. In this case, we need to examine the NIS, directly. In this paper, we add a question-answering function with criterion values to RNIA. For a set CON of condition attribute values, this function picks up decision attribute values DEC with maximum and minimum values of support(CON=>DEC) and accuracy (CON=>DEC). According to these criterion values, we define the validity of the decision DEC.
