Based on researching interval attribute valued decision systems in rough set theory , a new approach attribute reduction in interval attribute valued decision systems is presented 摘要基于粗糙集理论对区间属性值决策系统进行了探讨，提出了一种区间属性值决策系统属性的粗糙约简方法。
Fuze time , when used with he and wp , should be adjusted to obtain an effective hob ; then these projectiles are useful against troops and vehicles in open and in trenches , as well as in rough terrain 在用于高爆弹和白磷弹时，应调整至空中爆炸的效果，这可有效对付在开阔地、在壕沟以及不平坦地形中的部队和车辆。
Applying some related methods of multi - attribute decision analysis in rough set theory , a method to determine the fundamental importance ratings of the customer requirements in the product planning hoq was proposed 利用粗糙集中完备信息系统的多属性决策方法，确定了产品规划质量屋中上述顾客需求的基本重要度。
Due to the danger of swamping in rough seas , most lcms were towed across the channel and not loaded with troops until the morning of d - day . lcms could be readily identified by their unique perforated bow ramp 盟军在d - day诺曼底登陆战黎明,大部分的lcm登陆艇由船拖牵,通过英吉利海峡,而且当时也没有装运任何步兵
Additionally , we implement all the algorithms presented in this paper . the software system we developed also contains several algorithms in rough set theory and the empirical result of algorithm chen2 与此同时开发了一套粗糙集理论的系统原型，包含了部分的粗糙集理论的算法，并对本文提出的增量算法2进行了实验分析。
In section 5 , a system of notions are redefined in rough groups theory , and in the traditional and the redefined rough group theory systems , the properties of roughness of group based on subgroup are researched 第5节，重新定义了粗糙群理论的一系列概念，并在传统的和新定义的两种粗糙群理论体系中，研究了基于子群的群的粗糙的性质。
Facing the notorious data , we need a kind of efficient tool ( s ) to find some useful knowledge . rough sets is one of such tools . finding the reductions and the core ( s ) of information system plays an important role in rough sets 随着数据资源的日益增加，人们迫切需要一类工具和方法，以便能够从迅速增长的数据资源中提取出有用的知识，从而帮助我们科学地进行各种决策。
It is important to seek effective reduction algorithm in rough sets because of less efficiency of the complete algorithm of attributes reduction based on the discernibility function and incomplete of heuristic reduction algorithm 现有的基于区分矩阵和区分函数的属性约简完备算法的低效性和启发式算法的不完备性在一定程度上限制了粗糙集理论的广泛应用,因此寻求高效的粗糙集算法具有重要的意义。
As the problem of attribute is one of core problems in rough sets theory , this paper puts forward an improved algorithm based on genred reduction algorithm , what " s more , the improved algorithm is applied into client purchase analysis field 属性约简问题是粗糙集理论的核心问题之一，本文提出了一种基于genred的最大概率因子的改进属性约简算法，并将该算法应用在市场营销的客户购买分析方面。
