Abstract
The purpose of this paper is to clarify the effectiveness of uncertainty information management in decision making for risks. First, through a review of previous studies, this paper divides "uncertainty" into two categories, "scientific uncertainty" and "social uncertainty," clearly distinguishing them from the classification of "risk. Next, scientific uncertainty is divided into "informational uncertainty" and "technological uncertainty. Social uncertainty is divided into six categories: economic uncertainty, political uncertainty, administrative uncertainty, legal uncertainty, ethical uncertainty, and psychological uncertainty. Then, specific examples of each uncertainty are given to illustrate the necessity of the classification and its position. This classification of uncertainty has allowed us to show the effects of new policy in risk decision making and the way uncertainty should be managed.
