This paper deals with the organization of two important areas which interact strongly: information science and decision-making. Both are commonly and extensively used in a variety of ways and share an equally commonly and extensively used variety of definitions. This paper deals with the mutual interaction between information science and decision-making. In order to organize or to relate these two fields to each other, a number of important criteria must be considered. For example, the organization or interrelationship should have generality, applicability, utility, reality, and the potential for quantification. A generalized information system which satisfies all of these criteria is defined in detail. It consists of four interconnected components: an information source which acquires and disseminates information (IAD), a decision-maker which accepts the information from the source and disseminates courses of action on execution function which takes the courses of action and converts them into observables (the resultant of the courses or plan of action), and a transformation function which accepts the observables and transforms them into data which are fed to the IAD. (Author)