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自動化工業(yè)論文 求翻譯 謝謝啦
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The backward cloud generator (CG−1), as shown in Fig. 3(a),is a conversion model, which converts quantity data to a quantitative concept. Data xi with membership degree ui can be converted to the quality cloud concept (Ex , En, He) through the backward cloud generator. In practice, the backward cloud generator without membership degree ui [as shown in Fig. 3(b)] can be used as there is usually no clearly defined degree ui. The algorithm is as follows. C. Space Fusion Structure Based on Cloud Modeling Data fusion [20] is generally defined as the use of techniques that combine data from multiple sources and gather that information into discrete, actionable items to achieve inferences,which is more efficient and narrowly tailored than achieved by means of disparate sources。 Data fusion processes are often categorized as low, intermediate, or high level, depending on the processing stage at which fusion takes place [21]. In recent years, multisensor data fusion has received significant attentionfor a wide range of applications. Data fusion techniques combine data from multiple sensors and related information from associated databases to achieve improved accuracies and more specific inferences than those could be determined by a single sensor [22], [23]. |
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