importance weighting 中文意思是什麼

importance weighting 解釋
按重要性大小加權
  • importance : n. 1. 重要性。2. 重要地位,顯著,有力。3. 驕傲,自大。
  1. The first set of estimated values describes a given formal style while the rest serving as weighting mechanisms, an importance index and a confidence factor, fine - tuning the description

    第二部份乃描述一個設計師可藉以分析現有造形風格並可界定及描述目標市場所期望的造形風格之架構。
  2. Abstract : an integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information

    文摘:研究了結合主觀和客觀信息的模糊多屬性決策問題,其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法,給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重,然後,通過對決策信息進行簡單的加權集結,得到所有方案的排序結果.最後,通過一個算例說明了該方法的實用性和有效性.結果表明,該方法要比其他主客觀結合多屬性決策方法簡單
  3. An integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information

    研究了結合主觀和客觀信息的模糊多屬性決策問題,其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法,給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重,然後,通過對決策信息進行簡單的加權集結,得到所有方案的排序結果.最後,通過一個算例說明了該方法的實用性和有效性.結果表明,該方法要比其他主客觀結合多屬性決策方法簡單
  4. Then, we establish the finite element analysis models of the antenna in different structure layout, and obtain the corresponding frequencies and model shapes. finally, according to the importance of each object, we set up the model of multiple objects that aims to maximize the first natural frequency and minimize the mass. combining orthogonal experiment and variant weighting coefficient method, we formed an effective multiple objects optimized algorithm basing on the neural network and genetic algorithm

    本文首先詳細的敘述了天線結構的各組成單元,闡明了天線反射拋物面的形成原理;然後在ansys軟體環境中建立了不同結構布局下天線的有限元分析模型,分析計算了各種情況下天線的的固有頻率與振型;最後依據天線各指標的重要性,建立了以一階固有頻率最大、質量最小為目標的天線結構多目標優化設計模型,並基於神經網路和遺傳演算法,結合正交實驗和變加權系數技術,形成了一種有效的多目標優化演算法,在matlab平臺下實現了天線的結構多目標優化設計計算程序,求得了天線的最佳結構參數。
  5. The indicators are selected according to the coverage, measurability, representativeness, and importance to the quality of life in hong kong. the weighting of each indicator is decided on the basis of advice and research of renowned local and international scholars in the fields of quality of life and social indicators

    揀選分類指數和指標的準則是基於它們的涵蓋度、代表性、可量度性及對港人生活質素的重要性,並根據研究生活質素的國際權威學者的意見和研究而釐定比重。
  6. The weighting factor would be multiplied by the row score to represent the level of support and the importance of this feature to the organization

    最終,我們會將這個權重系數乘以該行的得分,以表示支持的級別和這種特性對于組織的重要性。
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