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Uncertainty Evaluation via Fuzzy Entropy for Multiple Facts

並列摘要


The fuzzy entropy designed for multiple facts selection has been carried out in this work. The entropy for the fuzzy data with respect to a specified fact is designed through a distance measure method. The obtained fuzzy entropy is then applied for the selection from multiple facts. From the relevant fuzzy entropy, it is concluded that data uncertainty information is limited by the total fact of n-1. The bounded calculation of data uncertainty to each fact is proven for multiple facts, and the decision of fuzzy data to the certain fact among multiple facts has been considered with the assistance of fuzzy entropy calculation.

參考文獻


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被引用紀錄


黃伯勛(2015)。全積體化之高效率E類功率放大器及2.4GHz/5GHz 雙頻帶高效率功率放大器之研製〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2015.02756

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