CENTRALIZED INTEGRATION OF MULTISENSOR NOISY AND FUZZY DATA

The paper discusses centralised integration of multisensor noisy and f uzzy data, which employs both Kalman filtering and fuzzy arithmetic. B ecause of the property of fuzzy arithmetic, the parameter fuzziness in a system under extended operation will increase without limit and fin ally reach an unacceptable range. Hong and Wang adopted a new compress ion technique to solve this problem. The paper extends their work on s ingle sensor noisy and fuzzy data filtering to multisensor noisy and f uzzy data filtering. An example is given to illustrate the effectivene ss of the algorithm presented.