Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
As the technique to analyze the causal relationship of categorical data with few samples, rough sets is beginning to spread in the field of product planning or a product design. There is high request of desiring to use this method in the early stage of development. For that purpose, it can be necessary to extract the decision class of rough sets by few subjects. Then, we have proposed method of presuming the decision class by few subjects. As the result of verifying using examples, the validity of the proposal method was shown in this paper.
