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Fuzzy Evidence Functions and Synthesis Rule Using Weighted Distance Testing in Process Industry

机译:流程工业中基于加权距离检验的模糊证据函数和综合规则

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The inclusion testing in process industry is used to extend Dempster-Shafer evidence theory to the fuzzy set, but not reactive to a transformation at some critical points in fuzzy focused component. The paper proposes a synthetic method of fuzzy evidence functions. Then a synthetic rule is also built based on distance testing. Instead of using the fuzzy synthesis method in previous methods, it introduces distance testing between fuzzy sets and the weight of fuzzy focused components to compute the contribution factor of evidence functions, and modify the basic probability assignment values of focused components according to novel fuzzy synthesis rule. Several numerical examples are made to demonstrate the effectiveness. The results show that the proposed approach could catch more data from the transformation of the focused component in process industry.
机译:过程工业中的包含测试用于将Dempster-Shafer证据理论扩展到模糊集,但对模糊集中组件中的某些关键点的转换不起作用。提出了模糊证据函数的综合方法。然后,基于距离测试还建立了综合规则。它取代了以前的方法中的模糊综合方法,而是引入了模糊集之间的距离测试和模糊集中成分的权重,以计算证据函数的贡献因子,并根据新的模糊综合规则修改了集中成分的基本概率分配值。 。进行了几个数值算例,以证明其有效性。结果表明,所提出的方法可以从流程工业中重点组件的转换中捕获更多数据。

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