Using new fusion operations to improve trust expressiveness of subjective logic
Using new fusion operations to improve trust expressiveness of subjective logic
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DOI：
10.1007/s11859-011-0766-3
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发表时间：
2011-09
影响因子：
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通讯作者：
Hongwei Zhou;Wenchang Shi;Zhaohui Liang;Bin Liang
中科院分区：
文献类型：
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作者：
Hongwei Zhou;Wenchang Shi;Zhaohui Liang;Bin Liang
主观逻辑为描述真实的世界的信任关系提供了一种手段。然而，现有的融合操作，它提供了平等对待融合意见，这使得它不能有效地处理加权意见。A. Jøsang提出了一种解决方案，它结合了贴现算子和融合算子来产生对问题的共识。在本文中，我们证明了这种方法是不适合处理加权意见，因为它增加了共识的不确定性。为了解决这个问题，我们提出了两个新的融合算子，能够融合意见的权重，在一个公平的方式，他们的优势之一是提高主观逻辑的信任表达。此外，我们提出的理由，他们的定义与证据空间和意见空间之间的映射。现有的运营商和我们提出的比较表明，我们的新的融合操作的有效性。
Subjective logic provides a means to describe the trust relationship of the real world. However, existing fusion operations it offers treat fused opinions equally, which makes it impossible to deal with the weighted opinions effectively. A. Jøsang presents a solution, which combines the discounting operator and the fusion operator to produce the consensus to the problem. In this paper, we prove that this approach is unsuitable to deal with the weighted opinions because it increases the uncertainty of the consensus. To address the problem, we propose two novel fusion operators that are capable of fusing opinions according to the weight of opinion in a fair way, and one of the strengths of them is improving the trust expressiveness of subjective logic. Furthermore, we present the justification on their definitions with the mapping between the evidence space and the opinion space. Comparisons between existing operators and the ones we proposed show the effectiveness of our new fusion operations.