Abstract
The fuzzy sequential circuit and its learning algorithm are proposed. The circuit consists of the weight-added fuzzy flip-flops. The weight-added fuzzy flip-flop is constructed by weight-added AND/OR elements. To illustrate the modeling process of the fuzzy sequential circuit, the circuit is applied to part of a small economic model. In this example, each economical variable corresponds to the weight-added fuzzy flip-flop identically, and the relationships of cause and effect are realized by supplementary using of the ordinary AND/OR elements. The topology of fuzzy sequential circuit is defined by the relationships of cause and effect. The weight parameters of each weight-added fuzzy flip-flop are estimated by the learning algorithm proposed. >
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