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- An approach of reduction decision table is proposed to induce decision rules. 并在此基礎上,給出了一種決策表的簡(jiǎn)化方法,推導出決策規則。
- At last, the authors get the decision table and distill decision rules. 最后得到?jīng)Q策表的簡(jiǎn)化表,并從中提取出決策規則。
- From the viewpoint of STACKELBERG decision problems, a leader-follower hierarchical decision model is proposed for distributed restoration after blackout. 引入主從遞階決策概念,建立了一種適合于大面積停電后分布式恢復的主從遞階決策模型。
- Engrafting hierarchical analysis method with both-fuzzy hierarchical decision, this paper presents both-branch fuzzy hierarchical analysis model, and gives its algorithm. 把層次分析的方法與雙枝模糊層次決策相互嫁接,相互滲透,提出雙枝模糊層次分析模型,并給出雙枝模糊層次分析的算法。
- Each section has a decision table to help you quickly find the information you're looking for. 其中每個(gè)部分都有一個(gè)決策表,用于幫助您快速找到要查找的信息。
- By using of both-branch fuzzy decision theory and hierarchical analysis method, this paper puts forward both-branch fuzzy hierarchical structure, and presents both-branch fuzzy hierarchical decision model. 利用雙枝模糊決策理論與層次分析的方法,本文提出雙枝模糊層次結構,給出雙枝模糊層次決策模型。
- The results provides theory basis for knowledge acquisition of information systems and decision table based on general binary relation. 所得結果為在一般二元關(guān)系下的信息和決策表的知識獲取提供了理論依據。
- In addition, the algorithm given in the paper is suitable for the decision table which has duplicated tuples. 文中所給出的算法特別適合于具有重復元組的決策表。
- Thus a relatively perfect theory and technique scheme of dynamic reduct of the decision table is formed. 形成了較為完善的決策表動(dòng)態(tài)約簡(jiǎn)理論和技術(shù)方案。
- Association computation rules and their mergence were constructed to reduce the scale of the decision table. 再次,進(jìn)一步構造出基于粗糙集的關(guān)聯(lián)運算法則及規則合并,以縮小決策表規模。
- In this paper, we give a more improved greedy algorithm for discretization of decision table. 摘要 對決策表屬性離散化的貪心算法做了進(jìn)一步改進(jìn)。
- The relationship between the attribute set of decision table,Boolean matrix and resolve of logic equation set is set up. 建立了布爾矩陣與邏輯方程組的解和決策表中的屬性集之間的關(guān)系;
- group hierarchical decision making 群體層次決策
- In order to compute discernibility object pair set,a quick algorithm for simplified decision table is provided,whose time complexity is O(|C||U|). 為求出區分對象對集,首先給出了一個(gè)快速求簡(jiǎn)化決策表的算法,其時(shí)間復雜度為O(|C||U|)。
- We implement the algorithms above and select a decision table from nursery database of UCI database and the results illustrate that the algorithm is valid. 以上的算法我們通過(guò)使用UCI的nursery數據庫進(jìn)行實(shí)驗,驗證了算法的有效性。
- Concerning decision table, the concept of partial granulation was introduced, and an algorithm of dynamic mining of decision rules based on partial granulation was proposed. 摘要針對決策表,引入了偏序粒的概念,提出了一種基于偏序粒的動(dòng)態(tài)決策規則提取算法。
- In this article,the authors propose a new method for discretization of continuous attributes based on FCM cluster using feedback information from decision table consistency. 討論模糊C均值聚類(lèi)算法在決策表條件屬性對決策屬性的相容程度的指導下對粗集理論中的連續屬性進(jìn)行離散化的一種新算法。
- To obtain knowledge and data from incomplete decision table (IDT), the paper presents a new doubly variable precision limited tolerance rough set theory model (VPLTRST). 摘要為了能夠從不完備決策表(IDT)中進(jìn)行知識發(fā)現和數據挖掘,提出一種新的具有對稱(chēng)性的雙重可變精度限制容差關(guān)系粗集模型(VPLTRST)。
- 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,并給出了利用區分向量進(jìn)行屬性約簡(jiǎn)的方法。