membership operator 中文意思是什麼

membership operator 解釋
隸屬算符
  • membership : 成員人數
  • operator : n 1 操作者，機務員；司機，駕駛員；【軍事】電話兵；【電話】接線員，話務員（＝telephone operator）...
  1. In order to find out a novel fuzzy inference algorithm being superior to cr1 algorithm and a novel fuzzy neural network, the author deduces nine kind of triple i algorithms by nine fuzzy operators. further more, the author compares these algorithms with the ordinary intuitional rules respectively and gives a conclusion that rl - type triple i algorithm is rather more closely to the intuitional rules. because fuzzy neural networks require the conditions of continuous and differential on membership functions of fuzzy sets and fuzzy operators of fuzzy inference, by means of comparison study, the author obtains a conclusion that the fuzzy neural networks with production operator and cr1 inference algorithm are very fit to study the problem of control

    為了找出優于cri演算法的模糊推理方法和新型模糊神經網路，本文首先對常用九種模糊運算元給出了具體三i演算法，並從模糊推理的另一個方面，考察了各種演算法對日常直觀模糊推理規則的貼近程度，得出「 r _ l型三i演算法貼近日常直觀推理規則」這一結論；同時，考慮到模糊神經網路要求「網路輸出保持對模糊運算元和隸屬函數連續性、可微性」這一特性，通過比較研究，得出利用乘積運算元和cri推理的模糊神經網路最適合控制問題。
  2. Aiming at the difference between the urban traffic network and the isolated intersection, designing the double flcs system, and real - timed optimizing the sequential membership functions of the inputs and output of the secondary flc. explaining the coding scheme, fitness function, ga operator, etc details. the effectiveness is proved by the simulation result of matlab

    3 、將研究對象從孤立交叉路口轉移到整個城域路網（多交叉路口）上，針對城域路網不同於孤立交叉路口的特點，設計了雙模糊控制系統，並根據路網車流量的變化，運用ga對輔助模糊控制器（ secondaryflc ）的輸入、輸出量的連續的模糊子集隸屬度函數進行實時優化，詳細闡述設計思想、編碼方案、適應度函數的選取、遺傳運算元的改進等細節問題，模擬證明該自適應雙模糊控制系統的有效性。
  3. Through establishment different rank membership function, builds judgment matrix and uses fuzzy analytic hierarchy process ( fahp ) to draw up the weight considering affects of different parameter in judgment. finally uses m ( ? + ) operator to carry on the fuzzy matrix computation and utilizes fuzzy comprehensive evaluation to judge ssdi system by the result

    本文採用模糊分佈法構造基本因素對應不同等級的隸屬函數，建立了評判矩陣;並根據不同因素在評判中所起的作用，使用模糊層次分析法確定了相應的權重;運用m （
分享友人
分享到 Line

分享到臉書