attribute comparison 中文意思是什麼

attribute comparison 解釋
屬性比較
  • attribute : vt. 1. 把（某事）歸因於…。2. 認為…系某人所為。n. 1. 屬性，特質。2. （人物、官職等的）標志，表徵。3. 【語法】屬性形容詞。
  • comparison : n. 1. 比較，對照；類似。2. 【語法】比較法；【修辭學】比喻。
  1. 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
  2. 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
  3. This thesis draws to the conclusion by the methods of model system ? experiment analysis and comparison that the latter one is of more theoretic significance and deeper application background. then we can say the attribute theory is superior to neural network method in the domain we concerned

    這表明，為解決橋吊的狀態監測與安全評估的系統建模計算機實現的問題，屬性論方法提供了一個比神經網路更優越的新模型和新思路，具有理論意義和重要的應用價值。
  4. Firstly, we constructed a relative difference comparison table based on the rough set theory to effectively and efficiently achieve the better attribute reduction. then the relative difference comparison table is combined with the heuristic knowledge to design three algorithms respectively : the improved algorithm for attribute reduction, the judge algorithm of attribute reduction, and some improvements for a widely used value reduction method are also achieved in this paper

    首先在粗糙集理論的基礎上構造出了相對差異比較表，然後把它與啟發性知識相結合分別設計了基於相對差異比較表的改進的屬性約簡演算法、屬性約簡的判定演算法，和提取規則的值約簡演算法。
  5. Considering that site selection is a multi - attribute decision with preference information, under the use of rough sets, the original decision table is replaced by the binary comparison table, the decision rules are reasoned by the dominance attributes sets, and then the ranking relation is obtained through these decision rules

    考慮到選址是一個具有偏好信息的多屬性決策問題，因此在粗糙集方法的使用中，用一個兩兩比較表代替原來的決策表，並通過優勢屬性集來推理決策規則，從而確定各方案排序。
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