A Method of State Recognition Based on Theory of Evidence
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摘要: 通過距離函數求出待識別樣本屬于各類別的似然函數.對難識別和易識別錯誤的樣本,通過新證據的引入,合成2批或多批證據下的似然函數,確定樣本的類別,從而減少了非典型樣本的誤識率,提高了識別的正確率.Abstract: By using the method of state recognition,a plausibility function which describes the resemblance between the sample and each class can be obtained through distance function.For the marginal samples,a new plausibility function based on two or several groups of evidences can be determined according to plausibility function.This method provides a better framework for modeling the human being's reasoning process. The result proves that the rate of recognition correctness is satisfactory.
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Key words:
- evidence theory /
- state recognition /
- plausibility function
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