Fuzzy Co-clustering for Categorization of Subjects in Questionnaire Considering Responsibility of Each Question

摘要

Categorization of subjects is a basic approach for summarizing the results of various questionnaires. Co-clustering is a technique for simultaneous co-clustering of mutually familiar objects and items such that each co-cluster is formed by the subject group with their typical questions. This research considers such a situation that a questionnaire is designed for finding some pre-defined categories, which are characterized by some typical questions, but some questions may not be necessarily lit to the target categories. Then, fuzzy co-clustering is performed in conjunction with evaluation of the responsibility of each question for the target categorization. The proposed fuzzy memberships are constructed under a hierarchical structure of category characterization and question evaluation. The characteristic feature of the proposed method is demonstrated through numerical experiments with an artificial data set.