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首页> 外文会议>International Conference on Fuzzy Systems and Knowledge Discovery >The Evidential Reasoning Approach to Synthesizing Linguistic Judgment Information of Experts under Incomplete Information
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The Evidential Reasoning Approach to Synthesizing Linguistic Judgment Information of Experts under Incomplete Information

机译：在不完备信息下综合专家语言判断信息的证据推理方法

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摘要

A new approach based on evidential reasoning is introduced to synthesize linguistic judgment information of experts. Firstly, the basic probability assignment (BPA) of each focal element is calculated by dealing with the incomplete linguistic decision matrix given by different experts. The consistence and adjustment problem for the BPA among experts is analyzed so as to propose the rule of combination based on relative reliability. Then the BPA values of all focal elements are integrated by improved rule of combination. The values of belief function and plausibility function are calculated and used to rank all decision alternatives. An example is presented to demonstrate the implementation of this method.
机译：引入了一种基于证据推理的新方法，综合了专家的语言判断信息。首先，通过处理不同专家给出的不完整语言决策矩阵来计算每个焦点元件的基本概率分配（BPA）。分析专家之间BPA的一致性和调整问题，以便根据相对可靠性提出组合规则。然后通过改进的组合规则集成所有焦点元素的BPA值。 CATIEIF函数和合理功能的值计算并用于对所有决策替代品进行排名。提出了一个例子来演示该方法的实现。

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