Analysis indices of human relationships based on fuzzy model

Abstract

The purpose of our study is to evaluate an analysis indices and fuzzy decision method for human relationships using fuzzy models. Many studies have been conducted on human relationship analysis in various fields which are sociology, psychology, information science and so on. Most popular analysis method in sociology is sociometry analysis. It was proposed by Moreno. Sociometry analysis is a general method for social network analysis and this method is used in various studies. Sumida has detailed results by studying a group of elementary school students from the perspective of pedagogy. Yamashita et al. proposed a fuzzy model for human relationships based on sociometry analysis. Yamashita’s method is generated a partition tree from survey question results and to analyze human relationships based on the partition tree. When sociometry analysis is carried out, there is the disadvantage that it depends on the analyst. As preconditions for analysis, the nodes belonging to the same similarity in the partition tree have already been analyzed. In previous studies, the relationships among the groups belonging to different similarity levels was not specified. Therefore, we have newly developed an analytical method to solve the problem based on Yamashita’s research. In order to evaluate these new analysis indices and fuzzy decision method, we used one example of data and its results. As a result of verification, we were able to obtain results equivalent to those done by experts and confirmed the usefulness of this new method.