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Uncertainty analysis investigates the uncertainty of variables that are used in decision-making problems in which observations and models represent the knowledge base. In other words, uncertainty analysis aims to make a technical contribution to decision-making through the quantification of uncertainties in the relevant variables.
USES OF UNCERTAINTY ANALYSIS (I) • Assess experimental procedure including identification of potential difficulties. – Definition of necessary steps. – Gaps. • Advise what procedures need to be put in place for measurement. • Identify instruments and procedures that control accuracy and precision.
2018年1月24日 · Uncertainty analysis is the process of identifying limitations in scientific knowledge and evaluating their implications for scientific conclusions. It is therefore relevant in all EFSA's scientific assessments and also necessary, to ensure that the assessment
- Diane Benford, Thorhallur Halldorsson, Michael John Jeger, Helle Katrine Knutsen, Simon More, Hanspe...
- 2018
不確定性分析（uncertainty analysis ） 目錄. [ 隱藏] 1 什麼是不確定性分析. 2 不確定性分析的產生因素. 3 不確定性分析的方法. [ 編輯] 什麼是不確定性分析. 不確定性分析是指對決策方案受到各種事前無法控制的外部因素變化與影響所進行的研究和估計。 它是決策分析中常用的一種方法。 通過該分析可以儘量弄清和減少 不確定性 因素對經濟效益的影響，預測 項目投資 對某些不可預見的政治與 經濟風險 的抗衝擊能力，從而證明項目投資的可靠性和穩定性，避免投產後不能獲得 預期的利潤 和 收益 ，以致使 企業虧損 。 [ 編輯] 不確定性分析的產生因素.
2021年8月21日 · Epistemic uncertainty can be characterized by methods such as probability bounds analysis, fuzzy logic, or Dempster–Shafer theory. This paper will review uncertainty modeling, uncertainty analysis, and design under uncertainty according to the definition of uncertainty and its categorization explained above.
- Erdem Acar, Gamze Bayrak, Yongsu Jung, Ikjin Lee, Palaniappan Ramu, Suja Shree Ravichandran
- 2021
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Uncertainty analysis. Uncertainty measures 'goodness' of a test result. This section discusses the uncertainty of measurement results. Uncertainty is a measure of the 'goodness' of a result. Without such a measure, it is impossible to judge the fitness of the value as a basis for making decisions relating to health, safety, commerce or ...
2021年1月13日 · To do that, we will need to do a forward uncertainty quantification analysis. This type of analysis is designed for quantifying the model prediction variations given the input data uncertainties. It is called forward as the uncertainty information flows from the input, through the model, to the output.
