Abstract
Choquet-integral-based comprehensive evaluation method are proposed. Fuzzy measures are derived from a fuzzy rule table that formulation is the same as the simplified fuzzy reasoning's. To be applied in social science, global evaluation methods are required some strict properties such as monotonicity. Unlike the fuzzy reasoning models, the models have monotonicity if the fuzzy rule table is monotonicity. Unlike the ordinal Choquet integral models, this model allows to switch the evaluation attitude -complementary or substitute- depending on input value situations. This model can represent the cumulative prospect theory and Choquet integral with respect to bi-capacities. Lastly, we show an application for performance evaluation such as balanced scorecards.
