
[數] 從屬函數;屬籍函數
The membership function of the fuzzy subsets can be actually obtained witha sampling survey method.
用抽樣試驗的方法實際求取模糊子集的從屬函數。
Based on the calculation of suitable fuzzy membership function, the recognition of true anomalies is improved.
通過模糊從屬函數計算,增強了對異常可靠性的識别能力。
The traditional PID control method, the fuzzy control method with unequable Membership Function and fuzzy control with intelligent weight function are introduced in the paper.
本文介紹了傳統PID控制、帶非均勻隸屬函數的模糊控制、帶智能權函數的模糊控制三種控制方法。
Because the loss factor and the corresponding scaling function are defined as the same fuzzy membership function, it can overcome the problems for fuzzy algorithms of GLVQ network possess.
由于虧損因子和尺度函數被定義為同一個模糊隸屬度函數,它可以有效地克服廣義學習矢量量化網絡的模糊算法存在的問題。
Every fuzzy variable consists of a series of fuzzy subsets and a fuzzy vector. The fuzzy vector is used to describe these series of fuzzy subset membership function.
每個模糊變量包括一系列模糊子集和一個模糊向量,這個模糊向量用來描述這一系列模糊子集的隸屬函數。
This chapter introduces the origin of the fuzzy theory, the meaning of fuzzy set, the membership function and some basic conceptions.
本章介紹模糊理論由來、模糊理論簡介、及模糊集合與隸屬度函數基本概念與一些重要性質。
Fuzzy theory can be widely used in control engineering. It is one of critical technologies of fuzzy control that how to determine membership function.
模糊理論可以廣泛地應用在控制工程中,如何準确的确定隸屬函數,是模糊控制的關鍵技術之一。
The least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis system.
文中采用計算機自適應的最小二乘優化方法實現模糊診斷系統隸屬度函數的機器自學習功能。
Firstly, B-spline function is used as fuzzy membership function and a noise classifier using fuzzy B-spline basis function neural network is introduced.
首先采用B樣條基函數作為模糊隸屬函數,設計了一種基于模糊B樣條基函數神經網絡的噪聲分類器;
In this paper, firstly we compare RST with Fuzzy Sets Theory and introduce fuzzy method into the study of RST by the rough membership function.
首先本文将粗糙集理論與模糊集理論進行比較,通過粗糙隸屬函數将模糊集的研究方法引入到粗糙集的研究中。
A new fuzzy membership function is defined in the light of requirements of image thresholding which can overcome the influence on segmentation caused by the classical S function.
算法針對圖像阈值化分割的要求構造了一種新的模糊隸屬度函數,克服了傳統S-函數帶寬對分割效果的影響。
A fuzzy B-spline function neural network is proposed to control AC servo system by using B-spline function as fuzzy membership function and using neural network to realize fuzzy interfernce.
采用B樣條函數作為模糊隸屬函數,利用神經網絡實現模糊推理,提出一種模糊B樣條基函數神經網絡,并将其用于交流伺服系統的控制。
How to determine the membership function of the fuzzy safety event is a key problem to be solved in the reliability design with fuzzy variable and random variable.
模糊安全事件隸屬函數的确定,是模糊變量和隨機變量組合時模糊可靠性設計中有待解決的關鍵問題。
This paper stu***s the constructing policy of membership function in fuzzy control.
文章研究了模糊控制理論中隸屬函數的構造策略。
Therefore, the automatic determination of the fuzzy rule and in-process adaptation of membership function are required for the advanced welding process control.
因此,模糊規則集的自動生成及隸屬度函數的線上調整對于現代焊接過程控制來說是迫切需要的。
If the membership function was linear, the fuzzy assessment for safety grade of pressure vessel defect was adopted to estimate the fuzzy unit of safety and fault.
前言:在以隸屬函數為線性的條件下,采用壓力容器缺陷安全程度的模糊評定,來判斷“安全”和“失效”模糊集。
It is difficult to determine the membership function in fuzzy optimization method and to obtain the knowledge, experience and rules in expert system.
模糊優化算法中隸屬函數的确定及專家系統中專家的知識、經驗和規則的獲取都是棘手的問題。
However the quality of the membership function will directly affect the analysis results of the diagnosis system, regardless of the fuzzy logic diagnosis or fuzzy cluster diagnosis.
但無論是使用模糊邏輯診斷還是使用模糊聚類診斷,隸屬函數的好壞将直接影響診斷系統的分析結果。
Competitive algorithm is used to optimize the parameters of membership function in structure learning before rule extraction.
結構學習中采用競争算法優化隸屬函數,保證規則前件提取的高效;
The selected membership function made neural network weight values have definite knowledge meaning, and the input characteristic variables were translated into fuzzy variables by fuzzy layer.
選取的隸屬函數使神經網絡權值有一定的知識表示意義,并通過模糊化層将輸入特征量轉化為模糊量。
For the molecular orbital, the irreducible representation component is analyzed besides the membership function of the fuzzy symmetry transformation.
對于分子軌道,除模糊對稱變換的隸屬函數外,分析了所屬不可約表示成分。
To solve the problem of high mistake rate caused by margin of error in classic discrimination tactic of test result, a discrimination tactic using membership function is introduced.
針對傳統的測量值判别策略中,由于誤差量的影響造成誤判率增加的問題,提出了一種設置隸屬函數的判别策略。
This fuzzy neural network used the B-spline basis function as membership function whose shape can be adjusted on line. The proposed network has better learning and adaptive ability.
這種模糊神經網絡利用B樣條基函數作為隸屬函數,可線上根據誤差調整隸屬函數的形狀,使模糊神經網絡具有更強的學習和適應能力。
Users can adapt the scale of fuzzy range by setting parameter in membership function or altering values in the histogram, and set different confidence to query different reliable data.
用戶通過設置隸屬函數的參數、直方圖的值調整模糊範圍的大小,通過設置不同的可信度查詢不同可靠性的數據。
Calculating the intersection coordinate, calculating the distance between assessment point and curve, and resolving the membership function established the defect fuzzy assessment model.
通過計算交點坐标值,計算評定點到曲線距離和隸屬函數求解建立缺陷模糊評定模型。
Ideas Borrow from the ways of establish membership function in fuzzy mathematics and combine the factor's characteristic, each factor's membership function is establish.
借鑒模糊數學中隸屬函數的确定方法,結合各評判因素自身特性,建立了評判模型中最低層各因素的隸屬度函數;
By taking the method of membership function in fuzzy set theory, the volume of coal gas was calculated by fuzzy matrix.
采用了模糊集合理論的隸屬函數方法,利用模糊矩陣運算進行推定所需煤氣量。
In this paper, we put forward the concept of belief measure, possible measure, membership function and weight as the base of fuzzy similarity match, with these functions we can retrieve images.
本文提出了以信任度、可能性測度、權重有隸屬函數概念作為模糊相似性匹配的基礎來檢索圖像的方法。
Membership Function(隸屬函數)是模糊邏輯(Fuzzy Logic)和模糊集合理論中的核心概念,用于量化一個元素對某個模糊集合的“隸屬程度”。以下是詳細解釋:
通過隸屬函數,模糊邏輯能夠更靈活地處理現實世界中不精确、非二元的問題,廣泛應用于工程、計算機科學和數據分析領域。
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