| 摘要 |
It is often necessary to make the best possible measurement of an object given a set of approximate assessments of its true state. As states change over time, or more information is made available, the set of assessments of the relative likelihood of the various possibilities has to be revised. An example might be the identification of an observed object such as a person or an aircraft, or the generation of a weather forecast from several pieces of information distributed in time or place, or both. The invention relates to methods for making the best possible measurement of an object, described by a powerset T, given uncertain data in terms of the elements of the powerset mfused, comprising the following steps: a) Set up the state of the measurement with any prior knowledge if available, or otherwise as ignorant, for the fused measurement, mfused; b) Receive the new data; c) Put the new data into the powerset mmeasurement; d) Work out the precision of mfused by evaluating the distribution of data across the mfused; e) Disjunctively discount mmeasurement by an amount depending on the result of Step d to get mmeasurementd; f) Conjunctively discount mmeasurement by an amount depending on the result of Step d to get mmeasurementc; g) Disjunctively combine mfused with mmeasurementd to get mfusedd; h) Conjunctively combine mfused with mmeasurementc to get mfusedc; i) Combine mfusedd and mfusedc to get a new average value mfused; and j) Return to (b), if there are more data; else end the process. Such a method balances the tendencies of known methods towards throwing away useful information available in measurements that disagree. |
