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- rough decision rules 粗糙决策规则
- With the basic principle of rough set, customers dig out the decision rules they wanted. 利用粗糙集理论的基本原理,挖掘出用户需要的决策规则。
- Both the certainty and uncertainty basis decision rules were extracted directly by using rough sets theory,and then formed libraries of decision rules of the information system. 利用粗糙集理论直接生成确定性基本决策规则和不确定性基本决策规则,形成信息系统的基本决策规则库。
- Both the certainty and uncertainty basis decision rules were extracted directly by using rough sets theory, and then formed libraries of decision rules of the information system. 利用粗糙集理论直接生成确定性基本决策规则和不确定性基本决策规则，形成信息系统的基本决策规则库。
- Level priority relation was used to replace indiscernibility relation,the decision rules and multi-criteria ranking problems were studied based on priority rough sets. 以级优关系代替不可分辨关系,研究了基于优势粗糙集的决策规则获取和多准则排序问题。
- Level priority relation was used to replace indiscernibility relation, the decision rules and multi-criteria ranking problems were studied based on priority rough sets. 摘要以级优关系代替不可分辨关系，研究了基于优势粗糙集的决策规则获取和多准则排序问题。
- There are no decision rules with which to choose decision rules. 它可以告诉我们该选用哪一条规则来进行操作。
- Rough sets theory provides a framework in which indiscernibility relations and boolean reasoning form a foundation for data reduction and decision rule generation. 粗糙集理论的概念性框架之一就是利用不可分辨关系和布尔推理作为数据约简和获取决策规则的基础。
- By the research of discernibility matrix in rough sets, the extended class feature matrices are presented.A mining algorithm for concise decision rules based on rough set theory is proposed. 摘要研究粗糙集理论中可辨识矩阵，扩展了类别特征矩阵，提出一种基于粗糙集理论的最简决策规则算法。
- In order to discover probabilistic decision rules in preferential multiple attribute decision system with incomplete information, an extension of the rough sets model is proposed in the paper. 摘要为了从有偏好信息但信息不完全的多属性决策系统中获取概率决策规则，提出一种新的不完全信息的多属性粗糙决策分析方法。
- An approach of reduction decision table is proposed to induce decision rules. 并在此基础上，给出了一种决策表的简化方法，推导出决策规则。
- At last, the authors get the decision table and distill decision rules. 最后得到决策表的简化表，并从中提取出决策规则。
- Finally, a new prototype system with 596 decision rules in it, based on fuzzy inference, is developed. 最后，本文发展出一个以模糊推论为基础且含596条决策规则的新原型系统。
- Decision inference of the extended decision rules was implemented using fuzzy CRI (compositional rule of inference). 用关系合成的模糊推理方法，实现了扩展决策规则集的决策推理。
- Therefore, by building the structure model of Election Campaign Process Strategy (ECPS), we can make decisions more logistic and efficiency;avoid the trap of few persons’ rough decision. 因此透过完整的选战程序策略模式的建立，可使得决策更具备逻辑性与效率性，避免少数粗造决策的缺陷；
- Third, we propose a new way of decision rules extracting based on the discriminated matrics. 再次，提出了一种基于可分辨矩阵的决策规则提取新方法。
- one direction S-dual rough decision 单向S-对偶粗决策
- A method for calculating decision rules core based on binary discernibility matrix is presented directly. 基于二进制可辨矩阵给出一个简单的直接求取决策规则核的方法,并提出一种决策规则的约简算法。
- This rough track will soon be a metalled road. 这条坑坑洼洼的路不久就要铺上碎石了。
