vector priority 中文意思是什麼
vector priority
解釋
向量優先級-
A coding scheme is proposed to eliminate the redundancy of output vectors in pyramidal lattice vector quantization ( plvq ). a fast algorithm of labeling lattice points and a fast algorithm of finding lattice points are presented. and the transmission priority in case of asynchronous transfer mode is suggested
提出了一種與圖象本身無關的熵編碼方法去消除金字塔格型矢量量化（ plvq ）的輸出冗餘：同時也提出了由格點輸出索引和由索引輸出格點的快速演算法；而且還根據異步傳輸模式（ atm ）的特點，選擇了傳輸的優先級。 -
We investigate the decision - making problem with a finite set of alternatives, in which the decision information takes the form of a fuzzy preference relation. we develop a simple and practical approach to obtaining the priority vector of a fuzzy preference relation. the prominent characteristic of the developed approach is that the priority vector can generally be obtained by a simple formula, which is derived from a quadratic programming model. we utilize the consistency ratio to check the consistency of fuzzy preference relation. if the fuzzy preference relation is of unacceptable consistency, then we can return it to the decision maker to reconsider structuring a new fuzzy preference relation until the fuzzy preference relation with acceptable consistency is obtained. we finally illustrate the priority approach by two numerical examples. the numerical results show that the developed approach is straightforward, effective, and can easily be performed on a computer
研究了決策信息以模糊偏好關系給出的有限方案決策問題，提出了一種簡潔且實用的模糊偏好關系排序方法.該方法首先建立一個二次規劃模型，然後基於該模型推導出求解模糊偏好關系排序向量的一個簡潔公式.基於獲得的排序向量，利用一致性比例對模糊偏好關系進行一致性檢驗.對於一致性較差的模糊偏好關系，則需反饋給決策者重新進行判斷，直至得到一個一致性可接受的模糊偏好關系為止.最後，利用2個算例對該方法進行分析和說明，數值結果表明該方法簡潔、有效，且易於在計算機上操作 -
After the discussion of several kinds of optimum threshold segmentation methods, a multi - feature vector space and three new criteria ( global comparison detection, geography priority privilege, equal opportunity for competence ) are developed for region growing control, a new region growing method is brought forward. at last the region splitting and merging, region clustering, neural networks, snake active contour model et al have been discussed
提出了全局比較探測、面積測定及空間優先、競爭機會均等三個有效的準則，利用灰度、紋理多特徵矢量改進了傳統的區域增長演算法，並對紋理分析，神經網路分割和snake活動輪廓分割進行了有益的探索。
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