membership relation 中文意思是什麼
membership relation
解釋
從屬關系- membership : 成員人數
- relation : n 1 說話，敘述，報告；故事。2 關系，聯系；〈pl 〉（利害）關系，交情；〈pl 〉國際關系。3 親戚關系...
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Paraconsistent relation model with membership, by introducing the concept of membership degree in fuzzy database, has strengthen the ability of handling inconsistent information on the paraconsistent relation. negative disjunctive paraconsistent relation model introduces the concept of disjunctive tuples. thus the ability of handling indefinite information has been intensified
帶隸屬度的次協調關系模型是在次協調關系的基礎上引入模糊數據庫的隸屬度的概念，該模型加強了次協調數據庫處理矛盾信息的能力;否定析取次協調關系模型是在次協調關系的基礎上引入析取元組的概念，該模型加強了次協調數據庫處理不確定信息的能力。 -
Fuzzy system lacks self - study ability and its membership functions and fuzzy rule are chosen by experts subjectivity, and input / output relation obtained by neural network can not be expressed in acceptable way and exists the quality of absoluteness, all of which make diagnosis result not live up to the fact
模糊系統缺乏自學習能力，隸屬度函數和模糊規則的選取帶有一定的主觀性且依賴于專家；神經網路所獲得的輸入輸出關系無法用容易被人接受的方式表示出來，存在非此即彼的絕對性，使診斷結果與實際情況不符。 -
By the model knowledge is expressed as fuzzy membership matrix, it is convenient for use of relation database system and decision of alternative plans
將加工方案選擇知識以模糊隸屬度矩陣的形式表達，便於採用關系數據庫存儲，推理過程通過模糊關系運算實現，便於多加工方案的決策。 -
Because of the shortcomings of the classical rough sets model such as the sensitive to noise often encountered in many real - world applications, the dissertation presents a variable precision and md relation rough sets model from the perspective of rough membership function and micro - difference. not only can the vp - md model overcome the shortcomings of the classical model, but also is consistent with the statistics. this model can extend the application scopes of rough sets and enhance its adaptability
本文從對象的不可分辨關系出發，討論了信息系統的經典粗糙集模型，並針對經典粗糙集模型存在的對噪音敏感等缺陷，提出了基於隸屬度和微差距離的可變精度微差關系（ vp - md ）模型，該模型不僅能夠處理含有噪音的不完全信息系統，其結果也能反映大量數據所滿足的統計規律，使粗糙集理論的應用范圍更廣、適應性更強。 -
( 2 ) the relation of each image feature point and the most evident curve membership is discovered, such relation can be used to reduce redundancy of parameter space, depresses computational effort and suppresses the false accumulator cells etc. the most evident curve membership is then fed to the original image space, the information of image pixels can be recovered, the shorter line can be found, the bad line can also be repaired and the pr ecision of beeline detection can be improved
（ 2 ）提出圖像特徵點與參數點一一對應的可能性，實現了圖像特徵點對應于參數空間某一最優參數點，減少了參數空間的冗餘量，降低了計算量，壓縮了偽累積點；並將最優參數點反饋回圖像平面，恢復圖像特徵點信息，可以檢測出較短線段，修補破損直線，提高了直線檢測的精度。
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