对象更新环境下的多粒度决策系统的最优粒度选择

Optimal Scale Selection in Multi-scale Decision Systems under Environment of Objects Updating

多粒度决策系统是一类重要的关系数据库,最优粒度选择是研究多粒度决策系统的主要目的之一。讨论了对象更新环境下的多粒度决策系统的最优粒度选择。首先,介绍了多粒度信息系统和多粒度决策系统;然后,引入了广义决策函数,并利用此函数定义多粒度决策系统的协调性和最优粒度;最后,讨论了对象更新环境下不同协调性的多粒度决策系统的最优粒度的变化规律。

Multi-scale decision system is an important kind of relational databases,and the optimal scale selection is one of the main research targets in the study of multi-scale decision system.This paper discussed the optimal scale selection of multi-scale decision systems under the environment of objects updating.First,the notions of the multi-scale information system and multi-scale decision system were presented.Then,ageneralized decision function was defined and used to introduce the consistency and the optimal scale in the multi-scale decision systems.At last,the optimal scale transformation mechanism of different consistent multi-scale decision systems were investigated under the environment of objects updating.