fuzzy approaches 中文意思是什麼
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Fuzzy histogram approaches for color image retrieval
彩色圖象檢索中的模糊直方圖技術 -
By utilizing expert experience and language information, analyzing, modeling and control of many industrial complex plants can be handled effectively by fuzzy control technology, which otherwise will be very hard by approaches of traditional control theory, if not impossible. in addition, these complex plants can be controlled easily even without exact mathematical models, so fuzzy control has become a popular topic for analysis and design of complex nonlinear systems
傳統控制理論難以解決復雜非線性系統分析、建模與控制問題，而模糊控制技術由於能夠方便地利用專家經驗及語言信息，甚至無需建立系統數學模型即可對系統進行控制，目前已逐漸成為復雜非線性系統分析與設計所採用的主要方法之一。 -
Then two approaches to discuss the feasibility of applying ga to auv ' s fuzzy logic controller design are presented
然後在此基礎上，分兩種情況討論了將遺傳演算法用於水下機器人模糊控制器設計的可行性。 -
According to the characteristics of inrush current a series of new approaches of discrimination inrush current by utilizing fuzzy set is presented. and then the algorithm of transformer protection is achieved based on 80c196 system
通過研究勵磁涌流的特徵，提出了利用模糊識別原理來識別變壓器勵磁涌流，並基於80c196單片機系統編制了保護軟體。 -
Based on the analysis of types and sources of risks that confront commercial banks, the paper first determines the methodology for its research, i. e. mathematical statistics for quantity factors and the fuzzy discriminating analysis for the quality factors. combining the evaluation approaches of the banks in germany and china, the paper gets 13 common indices, and with mathematical statistical method, chooses 4 factors that will influence customer credits : equity capital / total asset, velocity of stock in trade, velocity of total assets and payoff rate of total sale. the four factors with liquidity factor reflect the customer ' s financial characteristics, such as capital structure, operation, earnings and liquidity
在理論分析的基礎上，結合德國和中國有關銀行的客戶資信評價方法，在得到影響客戶信用13個常用指標的基礎上，利用數理統計分析方法（ t檢驗、多元判別分析和逐步判別分析等）得出影響客戶信用的四個因素：自有資本率、存貨周轉率、總資產周轉率和銷售盈利率，他們反映了企業資本結構、經營狀況和盈利水平，加入企業的流動性以後，它們決定了客戶的財務特徵。 -
The processes included the establishment of databases and knowledge bases for forestland suitability analysis, the establishment of a decision support system of forestland classification by referring to the framework of ecosystem decision support system developed by the us forest service, and comparisons of forestland classifications between traditional binary and fuzzy logic approaches
同時，為探討林地分級決策支持系統所使用的模糊邏輯法和常規二分法對林地分級之影響，亦分別依據研擬的準則予以分析和比較。 -
In order to meet the needs of this application, we propose several approaches to compute reliable dense depth maps, such as a feature - constrained stereo matching algorithm, a stereo matching algorithm based on gray segments and a stereo matching algorithm based on fuzzy identification, we demonstrate these techniques on synthetic and real image pairs, indicating that these approaches are feasible
圖像深度提取一直是計算機視覺領域的中心研究問題，為了得到圖像繪制系統必需的比較精確的高密度深度圖像，我們相繼提出了基於特徵約束的立體匹配演算法、基於灰度段的立體匹配演算法和基於模糊判別的立體匹配演算法，通過實驗驗證上述三種演算法均獲得了良好的效果。 -
The probabilistic approaches include the belief network, the dynamic causality diagram, the markov network, the approach used in prospector, etc. the non - probabilistic approaches include the certainty factor theory in mycin, fuzzy set logic, dempster - shafer theory, etc. the non - probabilistic approaches have reached some achievement in their respective application domain, and shown their shortage while applying
另一類是非概率的方法，包括mycin的可信度因子（ certaintyfactor ） 、模糊邏輯（ fuzzylogic ）以及dempster - shafer的證據理論等。非概率的方法雖然在各自的應用領域都取得了一定成果，但在運用過程中人們越來越意識到這類方法的不足。 -
The theory of fuzzy sets has been used to deal with image enhancement problems for degraded images in which the image edges are uncertain and inaccurate. for those kinds of images, to some extent, the good enhancement effect can be obtained using the fuzzy sets - based image enhancement method instead of the traditional image enhancement approaches
由於圖像中存在許多不確定性和不精確性，對于這種類型的圖像，與傳統的圖像增強手段相比，基於模糊集理論的圖像增強技術在一定范圍內可以取得較好的增強效果。 -
Approaches to transformation between ahp judgment matrix and fuzzy judgment matrix
判斷矩陣與模糊判斷矩陣相互轉化方法 -
The often - used classification is classification by decision tree induction, bayesian classification and bayesian belief networks, k - nearest neighbor classifiers, rough set theory and fuzzy set approaches
分類演算法常見的有判定樹歸納分類、貝葉斯分類和貝葉斯網路、 k -最臨近分類、粗糙集方法以及模糊集方法。
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