To support the creation of good virtual world presentation, we need to retrieve polygon objects from databases. In conventional database systems, retrieval of polygonal data was based on only the features of the polygon. Unfortunately, such retrieval techniques do not consider the user's subjective measures. This paper illustrates the creation of multidimensional spaces based on subjective measures by analyzing the correlation between features of polygonal data using a multidimensional scaling method and regression analysis. Our techniques enable users to retrieve objects more efficiently by considering subjective measures.