The Multidimensional Classification Method II for Predicting the Probability of Goal Attainment in Designing Work Groups

Abstract

We already suggested a multidimensional classification method for predicting the probability of goal attainment in designing work groups. The method is called MDCP-I and its role is modeling conditional probabilities for the predicting. An attribute space in the MDCP-I is used for the modeling. Then methods for selecting the entities' attributes to construct the spaces were suggested from the viewpoint of the AIC minimization. For the modeling, this paper suggests a method (this is called MDCP-II) for utilizing the attributes which were rejected in the selecting.