In the measurement of actual sound environment, the observed data show various types of probability distribution forms, and often contain fuzziness due to the existence of confidence limitations in measuring instruments, permissible errors in experimental data, and quantized errors in digitized observation. In this study, by introducing the well-known fuzzy theory, a state estimation method based on the above fuzzy observations is theoretically proposed from both the static and dynamic viewpoints. The validity and the effectiveness of the proposed method are confirmed experimentally by applying it to the evaluation of road traffic noise.
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