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Multiscale Probability Transformation of Basic Probability Assignment

机译:基本概率分配的多尺度概率转换

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Decision making is still an open issue in the application of Dempster-Shafer evidence theory. A lot of works have been presented for it. In the transferable belief model (TBM), pignistic probabilities based on the basic probability assignments are used for decision making. In this paper, multiscale probability transformation of basic probability assignment based on the belief function and the plausibility function is proposed, which is a generalization of the pignistic probability transformation. In the multiscale probability function, a factorqbased on the Tsallis entropy is used to make the multiscale probabilities diversified. An example showing that the multiscale probability transformation is more reasonable in the decision making is given.
机译:在Dempster-Shafer证据理论的应用中,决策仍然是一个未解决的问题。为此已经提出了很多作品。在可转移信念模型(TBM)中,基于基本概率分配的直接概率用于决策。本文提出了基于置信度函数和似然函数的基本概率分配的多尺度概率变换,是对概率概率变换的推广。在多尺度概率函数中,基于Tsallis熵的factorq用于使多尺度概率多样化。给出了一个例子,表明多尺度概率变换在决策中更为合理。

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