Abstract: In a defuzzification system having fuzzy singletons in the consequent, an inference block (1) in each rule includes a device (2) for calculating the maximum value of each fuzzy singleton, devices (3 and 4) for performing weighted and simple additions to each of the inference grades outputted from the maximum value calculating device, a device (5) (11) for dividing the weighted addition value by the simple addition value to provide a centroid value and devices (6 and 7) (12 and 13) for expanding and contracting and/or shifting the output range width of the quotient from the dividing device. Even if the input range width of the subsequent circuits and devices varies, the output range width of the centroid value can be scaled by a scaling device and also shifted by a level shifting device. The same arrangement can change and regulate the scaling or controlled variable of the consequent depending on the purpose of control.

Abstract: A fuzzy neuron device which applies the fuzzy theory and the neuron theory. The device comprises a plurality of synapses each having a membership function, a first minimum value computing circuit for extracting the minimum value signal in the device from the outputs of the plurality of synapses, an extension circuit which is a component of a second minimum value computing circuits, and an extension terminal for connecting a plurality of extension circuit to each other so as to produce the second computing circuit. A device assembly may be produced by connecting a plurality of the devices to each other. In the device assembly, the second computing circuit extracts the minimum value signal in the assembly from the plurality of minimum signals in the respective devices.

Abstract: A membership function observation device capable of reducing the number of observation terminals and reducing the time required for measurement and control so that the interrelationship among membership functions can be understood. Pairs of membership functions output from the adjacent twos of a plurality of membership function generator circuits are supplied to respective minimum value circuits to obtain respective minimum values. These minimum values are supplied to a first maximum value circuit to obtain a maximum value. In turn, all the membership functions are supplied to a second maximum value circuit to obtain the maximum value of the membership functions. The outputs of the first and second maximum value circuits are synthesized to observe all the original membership functions at the same time.