This paper proposes an automated procedure for discriminating tissues using ultrasonic waves. Generally, the property of the echoes varies at each tissue. It is useful to discriminate the tissues according to difference of the property for diagnosis of diseases such as cancer. But, it is difficult to discriminate the tissue from the property because of its inter- and intraobserver variability. Therefore, the proposal method is aided by fuzzy inference and consists of two stages. The first stage constructs the expert system. In this stage, the fuzzy membership functions are automatically constructed at each characteristic value from pre-experimental data. The second stage predicts the tissues from another waves using the constructed expert system. Finally, the method was applied to six tissues. The experimental result indicated that all the tissues were discriminated (96.7%) with high accuracy than "C4.5" (93.3%).
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