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Transformation of Linguistic Truth Values During the Sensor Evaluation

机译:传感器评估期间语言真值的转换

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摘要

During the sensor evaluation procedure, each valuator uses his/her own ordinary linguistic truth values for the same factor because of different preference. That will brings some disadvantages to aggregate the information. For a uniform criterion, the standard linguistic truth value set is proposed. Based on the former hypothesis of transformation models of linguistic truth values, four transformation models are discussed: the model of point to point, the model of fuzzy set to point, the model of point to fuzzy set and the model of fuzzy set to fuzzy set. An example is to analyze it.
机译:在传感器评估过程中,由于偏好不同,每个评估者都将自己的普通语言真值用于相同的因子。这将给汇总信息带来一些弊端。对于统一标准,提出了标准语言真值集。基于语言真值转换模型的先前假设,讨论了四种转换模型:点对点模型,模糊集到点模型,点到模糊集模型和模糊集到模糊集模型。一个例子就是对其进行分析。

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