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Improved Evidence Conflict Measurement Algorithm Based on Singular Value Decomposition

机译:基于奇异值分解的改进证据冲突度量算法

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摘要

The evidence conflict measurement is the key and foundation to ensure the correct application of evidence theory. Aiming to solve the problem of poor adaptability and low accuracy of the traditional conflict measurement algorithms in multiple evidence scenarios, an improved evidence conflict measurement algorithm based on singular value decomposition is proposed in this paper, which can well adapt to multiple evidence scenarios.
机译:证据冲突度量是确保正确运用证据理论的关键和基础。为了解决传统的冲突度量算法在多证据场景下适应性差,准确性低的问题,提出了一种基于奇异值分解的改进的证据冲突度量算法,可以很好地适应多种证据场景。

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