HOW TO HELP INTELLIGENT SYSTEMS WITH DIFFERENT UNCERTAINTY REPRESENTATIONS COOPERATE WITH EACH OTHER
Владик Крейнович, Sundeep Kumar · Cybernetics & Systems · 1991
In order to solve a complicated problem one must use the knowledge from different domains. Therefore, if we want to automatize the solution of these problems, we have to help the knowledge-based systems that correspond to these domains cooperate, that is. communicate facts and conclusions to each other in the process of decision making. One of the main obstacles to such cooperation is the fact that different intelligent systems use differenl methods of knowledge acquisition and different methods and formalisms for uncertainty representation. So we need an interface f, “translating” the values x, y, which represent uncertainly of the experts’ knowledge in one system, into the values f(x), f(y) appropriate for another one. In the present report we formulate the problem of designing such an interface as a mathematical problem, and solve it. We show that the interface must be fractionally linear: f(x) = (ax + b)/(cx + d).