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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/94250

    Title: 以模糊理論建置貝氏認知網路風險評估模型
    Other Titles: Using fuzzy theory to create bayesian belief network for risk assessment
    Authors: 許安琪;Hsu, An-Chi
    Contributors: 淡江大學資訊管理學系碩士班
    徐煥智;Shyur, Huan-Jyh
    Keywords: 風險評估;模糊理論;貝氏認知網路;risk assessment;Fuzzy Theory;Bayesian Belief Network
    Date: 2013
    Issue Date: 2014-01-23 14:13:27 (UTC+8)
    Abstract: 本研究透過模糊理論整合貝氏認知網路建置風險評估模型進行風險評估。將所要推估之風險事件的觀察值運用模糊理論進行處理及量化成一個模糊數,並設置模糊規則表以建立貝氏認知網路中所需之條件機率表。根據此方法,可輕易地建置基於貝氏認知網路的風險評估模型。為了驗證本研究所提出之模型的可行性,本研究建立飛航風險評估模型,並透過數個實際案例進行評估。
    This study integrates fuzzy theory and Bayesian belief network (BBN) to create a risk assessment model. The observed value in an event is defined as a Fuzzy number. Rule tables are conducted to create conditional probability tables in a BBN model. According to the proposed methodology, the risk assessment model based on BBN can be developed easily. To verify the feasibility of our proposed model, a flight risk assessment model has been created, and several practical cases have been evaluated.
    Appears in Collections:[資訊管理學系暨研究所] 學位論文

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