Fuzzy identification of the user's requirements in the human interface of man-machine systems by the global learning method

This paper presents a "Global Learning Method" (G.L.M.) that can be used to construct a human-friendly interface for man-machine systems. The aims of the G.L.M. is to identify, in a user-friendly manner, the user's requiremen ts of the environments by means of a fuzzy set in order to give adequate in structions to the machine to make a desired environment for the user. First , man-machine systems are considered from the viewpoint of human friendly i nterface. Second, the G.L.M. is proposed, and third, the method is applied to the practical problem of identifying the user's requirements in a color environment of the Graphical User Interface (GUI) of personal computers and the results are shown. Finally, the effectiveness of introducing the G.L.M . to the construction of a human friendly interface is discussed from the v iewpoint of man-machine systems.