membership problem 中文意思是什麼

membership problem 解釋
成員問題
  • membership : 成員人數
  • problem : n. 1. 問題，課題；疑難問題；令人困惑的情況。2. 【數、物】習題；作圖題。3. （象棋的）布局問題。adj. 1. 成問題的；難處理的。2. 關于社會問題的。
  1. Taking load uncertainties, infeasibility problem and multiple objection of the reactive power optimization in the radial distribution system into consideration, loads are modeled as fuzzy interval numbers. fuzzy power flow is proposed based on fuzzy interval load for the more practical membership function of line losses rate and maximal voltages offset. this thesis presents multiple objection model of the reactive power optimization considering uncertainties using the fuzzy set theory

    對配電網電壓無功優化問題中負荷的非概率性的不確定性問題、多目標問題、約束不可行性問題進行了研究，用模糊區間來描述實際的負荷情況，並用負荷的模糊區間值計算配電網的潮流，得到有功功率損耗和電壓的模糊區間值，使網損率和節點電壓最大偏移量的隸屬函數更接近實際情況；將改進遺傳演算法與模糊集理論相結合，通過求解多目標函數和約束條件的模糊集合的交集，得出網損率和節點電壓最大偏移量最小的最優運行狀態。
  2. The research presented in this thesis was a sub - project of the national high technology research and development program of china ( no. 2004aa424530 ) on case - based industrial design ( cbid ) system. the procedural knowledge retrieve in case - based nc machine tools form design system is the focus of the research. with the analysis of the theory, a cognitive experiment with the method of protocol analysis was conducted to capture and identify the procedural knowledge and design problem domain, and the model of procedural knowledge search is proposed with the concept of membership from fuzzy theory

    本文是「 863 」國家科技攻關項目「基於案例的工業設計技術（ casebasedindustrialdesigncbid ）和輔助設計應用系統研究」的研究子課題之一，文章研究重點為系統中數控機床工業設計中程序型知識檢索，通過理論分析和實驗研究，探討其在cbid系統中的實際應用模式，最後引入模糊數學中隸屬度的概念，探討了其在系統中的實現方式。
  3. 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。
  4. Combination with membership function, decentralized use of interactive programming, the multilevel problem is simplified to single level. the satisfied solution can be gained

    並利用模糊數學中的隸屬函數，逐層使用互動式規劃法，將多層問題化為單層問題，求得問題的滿意解。
  5. Gang membership and gang - related crime is primarily a juvenile problem

    幫會和幫派罪行從根本上說是青少年問題。
  6. Perfection and adjustment according to system properties, it combines genetic algorithms with fuzzy control, detailed analyzes the problem of designing fuzzy controller and proposes two advanced schemes : first scheme : the change - of - variables are emerged into input variables of the simple fuzzy controllers of oil feeding pump system as one variable, and one pi block is connected after output of fuzzy controllers, consequently the structure of the improved fuzzy controller is analyzed, finally genetic algorithms with adaptive probabilities of crossover and mutation is applied to optimize membership functions and fusing factors of the fuzzy controllers, and the simulation results of before and after optimization are compared

    由於在模糊控制器的設計過程中存在較多的人為因素，為了實現根據系統特性對模糊規則和隸屬函數進行自動修正、完善和調整，本文將遺傳演算法和模糊控制結合起來，並針對前面設計的模糊控制器中所存在的問題進行了詳細分析，提出了兩種改進方案： 1在簡單模糊控制器的輸入變量中加入了變量變化率的信息，即將輸入變量和變量的變化率融合為一個輸入量，並在模糊控制器的輸出端加入比例、積分環節，然後分析了這種改進后的模糊控制器的解析結構，最後採用改進后的自適應遺傳運算元的遺傳演算法對模糊控制器中的隸屬函數和融合因子進行優化，並將優化前後的結果作了比較和分析。 2
  7. To this problem, this thesis modifies a formula for computing confidence of rough rules, which is based on information incompletion, and consummates a computing method based on rough membership function. considering the effects on confidence caused by both incomplete and incompatible information, this thesis presents a new approach to computing confidence in rough set theory

    針對這個問題，本文修正了一個基於信息不完備的粗糙規則可信度的計算公式，完善了基於粗糙隸屬函數的可信度計算方法，全面考慮了信息不完備和信息不相容對可信度的影響，提出了一種新的粗糙集理論中規則可信度的計算方法。
  8. The author also deals with the process of cyprus " application for membership to eu and the effects of eu on cyprus problem. in the seventh chapter, the author discusses the historical effects of the " enosis " and the defects of the state. he also analyzes the elements with effect on the cyprus problem and puts out several facts that should be considered when people try to solve the problem

    在以上各章對塞問題作全面分析與概述的基礎上，第七章分析總結了希族人「意諾西斯」民族主義的歷史作用和塞普勒斯共和國的特徵，從島內外形勢變化分析了影響塞問題的因素及其未來走向，並提出了解決塞問題應該注意的幾個問題。
  9. The gray level maximum has not been changed in the classical fuzzy enhancement method proposed by s. k. pal, so this kind of image enhancement method is not fit for the enhancement problem of degraded images with less gray levels and low contrasts ; the fact that the value domain of membership function of gray levels is not normalization form, i. e. [ 0, 1 ], is another disadvantage of the traditional fuzzy enhancement means

    但是由pal提出的經典模糊增強方法並沒有改變圖像灰度等級的上界，所以這種增強方法不適合於灰度等級少、對比度低的圖像增強問題，並且這種經典模糊增強方法的隸屬度函數值域不具有通常的規范形式，即[ 0 ， 1 ]區間。
  10. The original multi - objective optimization problem can be converted to a single objective problem using the goal programming scheme, and the nonlinear membership function is applied to embody uncertain and stochastic characteristics of the aspiration levels in the goal programming model

    該方法利用目標規劃方法將多目標優化問題轉化為等效的單目標問題，並用模糊集理論中的非線性隸屬函數來體現目標規劃方法中目標函數期望值所具有的模糊性和不確定性。
  11. In order to design a fuzzy classification system, it is an important task to construct the membership function for each attribute and generate fuzzy rules from training instances for handling a specific classification problem

    在發展一個模糊分類系統的過程中，一個重要的課題是如何定義各個屬性的歸屬函數以及產生合適的模糊規則。
  12. In addition we discuss the influence upon training efficiency and performance of this network generated by overlapping state of membership functions of fuzzy subsets. we bring forward modifying parameters of membership functions during samples learning and training. the problem on selecting and optimizing parameters was resolved effectively

    本文探討了模糊子集隸屬函數的重疊狀態對網路訓練效率及性能的影響，提出在網路訓練中通過樣本學習和訓練修正隸屬函數的參數，有效地解決了隸屬函數參數選取和優化的問題。
  13. One is multi - dimension maximum sum of relative membership degree ; the other is staged multi - dimensional fuzzy optimization method. the first method is suitable for the static program that time is not involved, and the second method can be used to solve any multistage problem, especially for those problems time is involved, in the end, these methods are explained in detail one by one

    其中，多維多目標決策序列相對優屬度總和最大法適于解決不涉及時間維的「靜態」多階段優化問題，而多維多目標階段模糊優選動態規劃方法不僅適用於「靜態」問題，而且適用於「動態」的任一階段或任一層次的優化問題。
  14. Abstract : a problem resolution can be represented by a series of chromosomes in genetic algorithm ( ga ). in the evolving process of reproduction, crossoves and mutation to chromosomes, a chromosome which is fitter to the enviroment can be obtained as the resolution of the problem. the membership functions and control rules are optimized by using ga, the design and adjustment of fuzzy controller are also improved

    文摘:遺傳演算法是將問題的求解用染色體的形式表示，在其復制、交叉、變異的進化過程中收斂為一個最適應環境的染色體，即為問題的解.用遺傳演算法對模糊控制中的隸屬度函數進行編碼，確定適應度函數，作遺傳運算與微量調整，可實現對隸屬度函數及控制規則的優化，改善模糊控制器的性能
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