uncertain knowledge 中文意思是什麼
uncertain knowledge
解釋
不確定知識-
As an effective approach to processing incomplete, imprecise or uncertain information, rough set has been playing an important role in the area of data mining and knowledge discovery
粗糙集作為一種處理不完全、不精確及不確定信息的有效方法，在數據挖掘和知識發現領域大有用武之地。 -
In a perspective of economics, it is proposed that knowledge can be economic goods or private goods conditionally by giving it a definition. it is also addressed that the relation between input and output is uncertain, the output ca n ' t be possessed by the producer totally, and the costs vs the profit of learning is incomplete corresponding, by studying the product, transfer and diffusion of knowledge. 2
從經濟學角度定義了「知識」的概念，論述了知識構成經濟物品、私有物品的有條件性和動態性；研究了知識的生產、知識的轉移和擴散等問題，指出了科研投入產出的不確定性、研究機構對研究成果佔有的不完全性、知識學習的成本一收益的弱對應性。 -
How to use advanced control technique on alkali recovery process is the key point of this paper. rough set theory is a newly developed mathematical tool for dealing with uncertain knowledge. it can be combined with other theories and has great effects
但是堿回收過程的控制自動化水平還不高，如何在堿回收過程中應用先進控制技術正是本文研究的重點，而粗糙集作為一種新型的處理不確定性知識的數學工具，可以結合現有的理論，發揮重要的作用。 -
After discussing of the current bdar, the chosen radar ’ s damage mode and effects is analyzed in the paper according to its function structure and fighting mission. and then, an expert system is presented to assess effectively and intelligently based upon the bayesian networks. in detail, three knowledge representations, i. e. production rule, frame and bayesian networks are adopted to express different kinds of knowledge in the expert system, and forward deduction and bayesian networks ’ uncertain reason are combined to accomplish the expert system inference process
本文在總結戰場損傷評估與修復的理論體系和研究現狀的基礎上，選用某型號雷達作為研究對象，按照其功能結構及作戰任務的特點，分析了它的戰場損傷模式與影響，並就其損傷評估與修復的常用方法和決策思路，設計了一個基於貝葉斯網路的專家系統以提高戰損評估決策的自動化、智能化水平。 -
The conventional variable structure control technique for uncertain system requires that the uncertainty bound is known as a premise to assure robustness. the requirement creates an over - conservative controller and enlarges chattering. the proposed controller regards the influence of unknown disturbances and parameter uncertainties as an equivalent disturbance and generates an on - line estimation used in smc to cancel the slowly varying uncertainties by the mechanism of time delay. the reaching law approach is used to get the conditions and band of quasi - sliding mode. the new methodology offers a robust feedback control with much lower gains and reduces chattering without a prior knowledge of the uncertainty bounds or matched conditions
常規變結構控制用於不確定系統，須利用不確定性界確保系統的魯棒性，控制器過于保守且抖振變大.本文把未知干擾和參數不確定性的影響等效為名義系統的外界干擾，利用時延技術對干擾進行在線估計，並將估計值引入到變結構控制中，從而抵消掉系統中的慢變不確定性，利用離散趨近律法，推出了準滑動模態的存在條件及其帶寬.該方法克服了以往控制方法中須已知不確定性界的限制，且不必滿足匹配條件，用較低的控制增益保證了系統的魯棒性，降低了準滑動模態帶即削弱了抖振 -
Abstract : the conventional variable structure control technique for uncertain system requires that the uncertainty bound is known as a premise to assure robustness. the requirement creates an over - conservative controller and enlarges chattering. the proposed controller regards the influence of unknown disturbances and parameter uncertainties as an equivalent disturbance and generates an on - line estimation used in smc to cancel the slowly varying uncertainties by the mechanism of time delay. the reaching law approach is used to get the conditions and band of quasi - sliding mode. the new methodology offers a robust feedback control with much lower gains and reduces chattering without a prior knowledge of the uncertainty bounds or matched conditions
文摘:常規變結構控制用於不確定系統，須利用不確定性界確保系統的魯棒性，控制器過于保守且抖振變大.本文把未知干擾和參數不確定性的影響等效為名義系統的外界干擾，利用時延技術對干擾進行在線估計，並將估計值引入到變結構控制中，從而抵消掉系統中的慢變不確定性，利用離散趨近律法，推出了準滑動模態的存在條件及其帶寬.該方法克服了以往控制方法中須已知不確定性界的限制，且不必滿足匹配條件，用較低的控制增益保證了系統的魯棒性，降低了準滑動模態帶即削弱了抖振 -
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。 -
We solved the agent execution host choice between hosts itself and many uncertain influencing factors, moreover agent study accumulation knowledge method is given
這樣不但解決了agent執行時host的選擇與其host本身諸多影響因素之間的不確定關系，而且解決了agent學習積累知識的方法。 -
Bayes network is a new inference and express method of uncertain knowledge
摘要貝葉斯網路是不確定性知識表達與推理的一種新方法。 -
Rough set theory was proposed by polish mathematician pawlak, which used to represent the uncertain knowledge. rough set theory has become a main method for kdd due to its unique advantage in knowledge discovery
粗糙集合是波蘭數學家pawlak提出的一種對不確定性知識的表示方法，粗糙集合理論憑借其獨特的優勢而在kdd領域中具有越來越重要的地位。 -
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。 -
Rough sets theory is a new mathematical tool, which analyses the facts hiding in data without any additional knowledge about the data, and a pithily tool for processing vague, noisy and uncertain knowledge
粗糙集理論是一種新型的處理含糊和不確定性知識的數學工具，它能夠分析隱藏在數據中的事實而不需要關于數據的任何附加知識，是處理含有噪聲、不精確、不完整數據的有力工具。 -
Rough set theory and fuzzy set theory are two different mathematical methods for represent the uncertain knowledge
粗糙集和模糊集是處理數據的兩種不同的數學方法。 -
Rough sets theory, an intelligent method for mining and processing imprecise and uncertain knowledge, has got great improvement
粗糙集（ roughsets ）理論是一門日益成熟起來的用於不精確，不確定知識挖掘與處理的重要智能技術方法。 -
The bayesian network ( bn ) proposed by pearl is a new mechanism for uncertain knowledge representation based on probability theory and graph theory
貝葉斯網路（ bayesiannetwork ， bn ）是pearl提出的一種基於概率論和圖論的不確定知識表示模型。 -
Aiming at the uncertain knowledge and information in the design scheme decision - making, a multi - targets and factors system level gray correlation analysis model was established
摘要針對設計方案決策中存在許多不確定的知識和信息問題，提出一種處理多層次、多因素客觀信息的系統層次灰關聯分析理論模型。 -
Be dead against to different field knowledge apply different inference strategy, apply different inference method to certain knowledge and uncertain knowledge, so make the design and evaluation inference more integrity
針對甘蔗收獲機械設計與評價專家系統領域知識的不同特點應用不同的推理策略，針對甘蔗收獲機械的確定性知識和不確定性知識應用不同的推理方法，使得對甘蔗收獲機械設計與評價推理更加完整。 -
The rough set theory was put forward by professor pawlak, poland university of science and technology, as a method to study the expression and learning of uncomplete or uncertain knowledge base. it was attached importance by many scholars around the world
Rough集（也稱粗集）理論是由波蘭華沙理工大學pawlak教授於20世紀80年代初提出的一種研究不完備、不確定知識庫和數據的表達，學習，歸納的理論方法，近年來得到許多國際學者的重視。 -
This dissertation discusses and studies to surround the knowledge representation, learning, reasoning, and the main contents include : at the first chapter, some familiar uncertain knowledge representation and reasoning and the difficulties of them : evidential theory, certainty factor, fuzzy logic and fuzzy reasoning, subjective bayesian method, belief network are introduced. we present the basic knowledge, primary reasoning algorithm, complexity of reasoning algorithm, the way of dealing with some problem of causality diagram relative and the research direction in causality diagram theory particular at the second chapter
論文圍繞著因果圖的知識表達、學習、推理進行了討論和研究，主要內容包括:在扼要介紹了一些比較常見的不確定性知識的表示和推理方法:證據理論、確定性因子、模糊邏輯與模糊推理、主觀bayes方法、信度網的基本知識之後，比較詳細地闡述了因果圖的知識表達，主要的推理演算法、計算復雜度以及對一些問題的處理方式方法。 -
Dynamic causality diagram was first proposed by professor zhang qin in 1994, it is a mathematics tool combined with probability and graph theory, just like the belief network, its characteristic is to provide the method of uncertain knowledge representation and agility reasoning, it adopts nodes to represent random variables in the domain and directional edges between nodes to represent causal relationship between variables, linkage intensity to represent the strength of the link between these variables, it supports the forms of reasoning from cause to effect and from effect to cause and together
動態因果圖由張勤教授1994年提出，它與信度網類似，是概率論與圖論結合的一種數學工具，其特點是提供不確定知識的表達和靈活的推理方法:用節點表示事件或變量，有向邊表示因果關系，並用連接強度來表示因果關系的強度，支持由原因到結果的正向推理方式和由結果到原因的反向推理方式以及正反向混合推理方式。
分享友人