Abstract
In this paper, we evaluate a system to analyze human relationships using fuzzy theory. Over the past few decades, a considerable number of studies have been conducted on human relationship analysis. Moreno proposed the analysis method called sociometry analysis. Sociometry analysis is a generally method for social network analysis and this method is used various studies. Sumida has detailed results by studying the elementary school group of students from the perspective of pedagogy. Yamashita et al. applied fuzzy theory to the sociometry analysis. Yamashita’s method is to analyze human relationships based on the partition tree. When sociometry analysis is carried out, there is a disadvantage that it depends on the analyst. By using a fuzzy model, the same result will be obtained no matter who goes. In previous studies, the strength of the influence among the groups was not specified, and analyses focusing on subgroups were not conducted. Therefore, we have newly developed an analytical method to solve the problem based on Yamashita’s research. In order to evaluate these new methods, 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.
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Yoshizumi, T., Sumida, T., Shiono, Y., Namekawa, M., Tsuchida, K. (2020). Evaluation of Advanced Analysis Method for Human Relationship Using Fuzzy Theory. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_72
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