Decision Support Systems (DSS) are usually designed to use normative model
and logical analysis to prevent decisions from intuitive bias. However, in
real world, it is difficult to construct a normative model with insufficien
t knowledge. At that situation, intuitive thinking becomes more useful. The
purpose of this article is to present a framework of Intuition Support Sys
tem (ISS) using Case-Based Reasoning (CBR) and Influence Diagram (ID). It t
akes advantage of the memory capacity and computing ability of computers to
dispel the bias of intuitive thinking and enhance: the advantage of it.