Intuitive decision-making using hyper similarity matching

We present the use of hyper similarity matching for modeling the situational matching central to intuitive decision making with importance weights for situations with different weight vectors. Extreme values are used to characterize intuitive situational matching by introducing the concept of amplification of the importances for such extreme values and characterizing similarity matching based on amplification.