decision-table 中文意思是什麼
decision-table
解釋
決策表-
Decision rule in decision table and knowledge granulation
決策表決策規則與知識粒度 -
Knowledge acquisition in vague decision table
決策表的知識獲取 -
Decision table algorithm based on attribute reduction
基於屬性約簡的決策表演算法 -
Incremental algorithms for attribute reduction in decision table
一種決策表增量屬性約簡演算法 -
An attribute reduction algorithm based on entropy for incomplete decision table
不完全決策表的一種信息熵屬性約簡演算法 -
Discernibility system can be used to unify the problems of computing reduct set in information system and computing relative reduct set in decision table
區分系統的縮減集計算統一了粗糙集合理論中信息系統的縮減集的計算問題和決策表的相對縮減集的計算問題 -
At last, applying the distance graph of the reduced decision table, we propose a way to get the core of each decision rule
最後，建立了一個利用約簡決策表的距離圖求決策規則的核值及最小決策演算法的演算法框架。 -
Power system fault diagnosis can be described as a mode classified problem, and it is quite fit to apply the decision table method of rough sets theory
電網故障診斷可以用一個模式分類問題來描述，很適合應用粗糙集（ rs ）理論的決策表方法。 -
Conventional iec three ratio method and new iec ratio criterion are reduced according to the method of decision table in rough set theory respectively, simplified diagnosis rules are proposed. besides being identical with original iec method, the codes of conventional iec three ratio method are increased and bounds of new iec ratio criterion are augment by using this method, codes imperfectness of conventional iec three ratio method and code name absence of new iec ratio criterion are improved to some extent, scarcity of codes in conventional iec three ratio method is offseted, absolutization of sort and boundary in new iec ratio criterion is overcomed. this is important in practice for its flexibility and enhanced error tolerances
應用粗糙集理論中的決策表化簡的方法分別對常規iec三比值診斷表和iec新導則診斷表進行了化簡，得到了簡化的診斷規則，它們不但具有與常規iec三比值法和iec新導則完全相同的診斷分類能力，而且擴充了常規iec三比值表的編碼范圍和iec新導則的診斷范圍，在一定程度上改善了常規iec三比值表編碼缺損和iec新導則無對應代號的問題，彌補了常規iec三比值法編碼的不足，克服了iec新導則分類及邊界的絕對化，使得iec診斷法在實際診斷中更具靈活性、實用性和容錯性，提高了故障診斷能力。 -
Minimal reduction arithmetic in communication stations ' decision table based on the rough set theory
基於粗集的電臺識別決策表最小約簡演算法 -
Positive region deduction of decision table and computation of core
決策表的正域約簡及核的計算 -
The research work in this dissertation is based on the following observations : ( 1 ) most existing rough set methods lack of suitable means to deal with distributed data environment ; ( 2 ) since the decision support ability of decision table will be reduced in rule induction process, the obtained rules can only offer limited decision support compared with the decision table
本論文主要針對現存粗糙集方法缺乏對分散式存儲數據的代價較小的有效處理機制以及在規則約簡過程中決策表決策支持能力的損失等問題進行了研究工作，提出了解決方法。論文針對現存粗糙集方法缺乏對分散式存儲數據的代價較小的處理機制問題，提出了元信息方法。 -
Therefore, based on formers " research and recurring to the rather strong ability of holding mistakes possessed by rough set theory, this paper present a new attribute reduction arithmetic as well as an improved value reduction arithmetic based on the combination of rough set theory and duality boolean calculation, and use it to handle the reduction progress of the decision table including all kinds of fault cases which is established by considering the signals of protection relays and circuit breakers, then form the general mixed knowledge model and bring up an idea about automatic production of decision table
為此，本文在前人研究的基礎上嘗試藉助粗糙集理論所具有的較強的容錯能力，提出了基於粗糙集理論與二值邏輯運算相結合的屬性約簡演算法以及改進的值約簡演算法，並將其應用於由斷路器和保護為條件屬性，考慮各種故障情況所組成的診斷決策表的約簡過程中，形成了混合策略知識模型，同時提出了診斷決策表自生成的基本思想。 -
A distributed model of incremental attribute reduction is also presented by decomposing values of decision attribute of positive region and boundary region in non - tolerant decision table
此外，通過對不相容決策表的正區域的決策值和邊界域對原決策表進行分解，得到了一種分散式增量屬性約簡模型。 -
A new method of attribute reduction of decision table based on discernibility matrix
一種新的基於區別矩陣的決策表屬性約簡方法 -
This paper proposes the concept of the decision table of the attributes reduction, and gives the method of the reducing attributes based on discernibly vector
文章提出了決策表的區分向量的概念，並給出了利用區分向量進行屬性約簡的方法。 -
There are many methods of the reducing attributes of decision table, and the common methods generate discernibly function, then reducing discernibly function and achieving the attributes reduction of the decision table
摘要決策表的屬性約簡方法有多種，常用的方法是利用區分矩陣生成區分函數，對區分函數進行化簡，進而得到決策表的屬性約簡。 -
An dynamic algorithm of attribute reduction is presented. in fact, data are always changing in database, so a dynamic algorithm of attribute reduction based on rough logic is presented, which can get new minimum decision algorithm based on the original one when new object is added. it can avoid reduction from large original decision table, update and vindicate the original algorithm, and improve the efficiency of attribute reduction
2 .提出了一種增量式屬性約簡演算法針對實際問題中數據庫中的數據是不斷變化的這一情況，以粗糙邏輯為基礎，針對新加入的對象相對于原來的極小決策演算法而言是全新的這種情況，提出了一種增量式屬性約簡演算法，從而避免每次從龐大的原始決策表開始約簡，實現了對原極小決策演算法的更新與維護，提高了屬性約簡的效率。 -
First, analyzing technique is used to transform interval attribute valued decision table into the three - component decision table, and then the attribute reduction is induced using rough set theory
首先利用分析技巧，將區間屬性值決策表轉化為三元決策表，其次利用粗糙集理論構建了屬性的約簡方法。 -
Attribute reduction of incomplete decision table based on consistent relation
基於相似關系的不完備決策表屬性約簡
分享友人