ファジィ分割表によるベクトル類似度と MDS によるその評価

抄録

Various analyses using contingency tables are very useful for finding interactions between two variables. The authors have extended contingency tables by applying fuzzy set theory and defined fuzzy contingency tables (type-1/type-2 fuzzy contingency tables). This enables type-1/type-2 fuzzy partitioning of similarity indices in typical set theory. In addition, it is now possible to calculate vectors from the similarity using MDS. In this paper, we propose a similarity calculation method using contingency tables and a similarity evaluation method using MDS, and evaluate the similarity of simulated data as a simulation.