Our laboratory aims to develop conventional decision sciences and systematic methods as well as intelligent decision aid technologies based on information science and intelligence engineering. We study fundamental theory such as decision making, mathematical programming, fuzzy set theory, computational theory and algorithm theory. Moreover, we exploit those for new decision making methods, modeling, optimization methods, data analysis, quick algorithms, soft computing, and so on.