关键词: 模糊信息, 证据理论, 信息融合, 隶属函数

Abstract: Evidence theory has a relatively strong theoretical basis which can deal with randomness or ambiguity caused by uncertainty.However，application of evidence theory is difficult to determine the mass function.To solve this problem，this paper proposes an evidence theory information fusion algorithm based on fuzzy set.The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.

Key words: fuzzy information, evidence theory, information fusion, membership function