preference ranking 中文意思是什麼

preference ranking 解釋
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  • preference : n. 1. 優先選擇；偏愛。2. 優先選擇物，偏愛物。3. 【法律】優先權；特惠〈特指關稅〉；（債權人）受優先償還的權利；選擇機會。4. 一種牌戲。
  • ranking : n. 順序；【統計學】秩評定。adj. 第一流的；首席的；高級的；幹部的。 a ranking afficer 高級軍官。 a ranking player 一級選手。
  1. According to the ranking method of tournament graph, we offer a method to solve multiple attribute decision making problems with the information of plans ' preference for each object

    摘要對一類已知各方案對每個目標的優先次序的多屬性決策問題，借鑒競賽圖的排序方法，提出了確定所有方案總排序的競賽圖法。
  2. Using the f - ahp model algorithms that based on fuzzy number and interval arithmetic solve the multi - attributes and fuzzy problems of agricultural project appraisal. using entropy weight ranking of f - ahp is more efficiency. using a - cut and index of optimism x. estimate the uncertainty and preference of decision makers

    用基於模糊數、區間數運演算法則的f - ahp模型解決了農業項目投資評估的多屬性及模糊性問題；採用熵權使得排序更加科學；通過置信度與樂觀指數考慮了不確定性及決策者的風險態度。
  3. 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。
  4. To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query - based relevance measures, semantic user preference representation and automatic update, and personalized result ranking. both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library. through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized. furthermore, ontology - based conceptual vector of user preference can be applied in personalized recommendation feedback

    為了提高數字圖書館信息服務的能力，描述了一個基於本體的用戶瀏覽和搜索個性化推薦系統框架.該框架將本體的優點應用於檢索周期中，包括提問相關測度、語義化的用戶興趣表達和自動更新、以及個性化的檢索結果排序等.在用戶訪問數字圖書館的交互過程中，可通過本體來構造用戶提問和文檔內容的匹配機制以實現語義化的內容檢索，並可進一步使用本體來構造用戶興趣偏好的概念向量以實現面向用戶的個性化推薦反饋
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