Title:
information-fusion-algorithm
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Description: 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.
- [BelDSmT] - Evidential reasoning DSmT confidence fun
- [DS] - ds examples of evidence theory for data
- [ds-for-matlab] - function for D-S
- [ltticeclosedegree] - First, the measured values and estimated
- [lyf] - Moment invariant of image and pattern re
File list (Check if you may need any files):
利用模糊推理的证据理论信息融合算法.pdf
