uncertain reasoning 中文意思是什麼

uncertain reasoning 解釋
不確定推理
  • uncertain : adj. 1. （行動）不定的，含糊的；不確定的，易變的；不可靠的。2. 不能斷定的，不明的，未定的。3. 忽明忽暗的，閃爍不定的。adv. -ly
  • reasoning : n. 推論，推理；論究，論斷；理論，論證；論法。adj. 能推理的；有關推理的。 the reasoning power 推理力。 a reasoning creature 理性動物，人類。
  1. This paper researches the asphalt expert ' s thinking pattern and adopts two reasoning model to simulate it. of the two reasoning model, uncertain reasoning based on c - f model simulate the asphalt expert ' s simple and linear thinking, while fuzzy reasoning based on fuzzy theory simulate the asphalt expert ' s fuzzy thinking

    本文研究了瀝青路面施工專家的思維模式，並採用了兩種推理模型予以模擬，其中，基於c - f模型的不確定推理模擬瀝青路面施工專家的簡單、線性思維，模糊推理模擬瀝青路面施工專家的模糊思維。
  2. The most important thing of reading is to deviate uncertain information from words and phrases, derivative implying information of speech and derivative sections and chapters dropped information, with the aid of reasoning tactics

    閱讀中最有用的是藉助推理策略推導語詞的未知信息、推導言語的隱含信息和推導篇章的脫落信息。
  3. 11 luo x, zhang c, jennings n r. a hybrid model for sharing information between fuzzy, uncertain and default reasoning models in multi - agent systems. international journal of uncertainty, fuzziness and knowledge - based systems, 2002, 10 : 401 - 450. 12 hindriks k v, de boer f s, der hoek w van, meyer j j c. formal semantics of an abstract agent programming language

    Agent行動選擇和目標更新不僅依賴于agent的不確定信念，而且依賴于agent在實施這些行動的時候的得失效應值在此，把點概率的效應理論擴展到了區間概率的情況，並借用模糊數學中區間數的方法，給出了比較區間最大期望效應的方法再次，關于實用推理的不確定性的繁殖，使用了基於預設決策理論的預設邏輯方法。
  4. It is this research that overcomes the difficult problems which variable factors in system design are many and researches about their coupling property are few with using engineering - organism - economy united theory, which horticulture facility types are too many, standardization low and dimension diverse with delamination strategy, and which reasoning in decision - making subsystem is hard because rules are uncertain with using uncertain reasoning with weight

    本研究運用工程?生物?經濟一體化的理論，解決了系統設計中變量因子多而雜、且相互耦合研究少的難題；運用分層策略，解決了園藝設施類型多、標準化程度低、數量大小參差不齊的難題；在決策分系統中，利用加權的不確定推理，解決了因規則的不確定性而帶來得推理機制的難題。
  5. In the paper, the models of uncertain reasoning are focused, such as the reasoning model of bayes probability, reliability theory, d - s evidence theory and neural network

    本文主要涉及的不確定推理模型包括主觀貝葉斯的概率推理模型，可信度理論推理模型，證據理論及其改進推理模型以及神經網路推理模型。
  6. An overall conditional probability model of feature reasoning in uncertain categorization

    歸類不確定情景下特徵推理的綜合條件概率模型
  7. Rough set theory ( rst ) is a strong tool for intelligent data reasoning. it deals with representation, learning and generalization of uncertain information and has a bright future in the application to industrial process control

    粗糙集理論是一種強大的智能數據處理工具，研究不確定信息的表達、學習和歸納，在工業過程式控制制領域的應用前景非常光明。
  8. Evidence reasoning has perfect performance in expression of uncertain knowledge, which is the reason why it has been making great progress in theory and application in recent years

    證據推理在不確定性知識表示方面具有優良的性能，這是近幾年其理論和應用發展較快的原因。
  9. In the aspect of the knowledge base structure for the expert system, it has described the matter ’ s former term and consequent according to the production system rule ; on the side of the structure of reasoning machine, i have selected the synthetically reasoning and applied the algorithm of weight uncertain reasoning to have the reasoning analysis to the symptoms of disease

    專家系統在知識庫的構造方面以產生式規則描述事件的前項和后項;在推理機的構造上採用混合式推理並應用加權不確定性推理演算法對疾病的癥狀進行推理分析得出結論。
  10. A reliability analysis for uncertain reasoning with specified tolerance

    模糊推理在特徵識別中的應用研究
  11. All above discussion is to provide suitable foundation and method for uncertain reasoning

    以上的討論為處理不確定性推理提供了適當的途徑。
  12. The structure model is a nonlinear model in nature, and can be composed of a group of uncertain reasoning rules easily

    這種結構模型是一種本質非線性模型，可以很容易由一組不確定性推理規則構成。
  13. Artificial intelligence is an important research field and widely concerned in the science of computer. meanwhile, the study of uncertain reasoning is also an active branch and the key technology

    人工智慧是計算機科學的一個重要研究領域，受到廣泛關注，而人工智慧中的推理研究是最為活躍的研究方向與核心技術之一。
  14. This paper develops a reasoning algorithm special for the combination of predicate presentation and fuzzy knowledge, which effectively solves the conflict between predicate logic and uncertain reasoning

    為了解決謂詞不能有效的進行不精確推理的問題，提出了針對謂詞結合模糊知識的推理演算法，建立了基於謂詞的模糊推理系統。
  15. Hence, the selection of knowledge reduction approaches can be determined by the request of different levels of decision granularity so as to generate proper decision rules in the model of approximate and uncertain reasoning about knowledge

    因此對于知識約簡方法的選擇，可以由不同決策粒度的需求決定，從而可以在相似和不確定推理的模型下生成合適的決策規則。
  16. By the experience, we can draw the conclusion that every models of uncertain reasoning in the information fusion have different characters, if these models are considered form different applied areas, the conclusion must be acquired differently

    實驗表明，利用不同的不確定推理模型，並將之應用於信息融合中，各有優劣，各有獨到之處，從不同角度出發考慮推理模型的性能，會得到不同的結論。
  17. 3 ) after analyzing advantage and disadvantage of neural network and fuzzy reasoning, a project to solve real - time, fault tolerance and uncertain reasoning problems of c3i systems and a data fusion architecture of c3i systems are proposed

    3 ）在分析人工神經網路和模糊推理優缺點的基礎上，基於互補思想，提出神經網路?模糊推理融合解決方案，以解決c3i數據融合的實時性、容錯性和對不確定信息的推理等問題；提出了基於神經網路? ?模糊推理現代c3i數據融合框架。
  18. So the ability of resolving the uncertain problems represents the intelligence of system, and the reasoning model based on uncertainty has become a key research project in ai and expert system ( es ). uncertainty knowledge representation can be classified into two categories : probabilistic and non - probabilistic

    不確定知識表達的方法可分為兩大類：一類是基於概率的方法，包括信度網（ beliefnetwork ） 、動態因果圖（ dynamiccausalitydiagrams ） 、馬爾可夫網（ markovnetwork ）以及在專家系統prospector中使用的方法等。
  19. In the fourth chapter, we analyze bayes networks - ihe theory of uncertain reasoning. and it is imported into intelligent fault diagnosis and task decomposition process for complicated equipment. the method have some advantage, such as reasoning in two - way ( effect and result ), diagnosis based on model, and using experts knowledge

    利用建模理論中的模型分解理論，建立復雜裝備內部各組成部件間的連接關系及層次關系，確定出裝備內部的信息傳播路徑，並建立裝備的概率模型，為基於bayesnetworks的不確定性推理及診斷任務的分解奠定了基礎。
  20. Then basing the theory of certainty, a new uncertain reasoning model was introduced and this model was validated in the example of tomato. then, the step of realization of the neural - expert hybrid expert system ' s inference engine was introduced. a diagnose method of diseases and insect pests base on module of neural network was presented and realized in this paper

    在確定性理論的基礎上，提出了一種新的不確定性推理模型，以番茄營養診斷為例對這種新的不確定性推理模型進行了驗證，同時給出了系統推理過程的實現程序步驟。
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