Abstract
Recently, multi-agent simulation (MAS) attract a attention from some domain. Modeling human decision-making is a challenge in modeling and simulating social phenomenon by MAS. Then, we generate If-Then rules that show human decision-making based on the questionnaire concerning selection of medical institution and the coordinate data of GIS in this paper. We compare distinction coefficient of generating If-Then rules that fixed attribute of antecedent part with automatic generating rules that by ID3 proposed by J.R. Quinlan. As well as we decrease number of rules and advance the analysis of the questionnaire data by clustering attribute of antecedent part.
