多标记背景下基于粒标记规则的最优标记选择

Optimal Scale Selection in Multi-scale Contexts Based on Granular Scale Rules

首先给出标记背景的定义,在多标记背景下提出标记规则的概念,讨论标记规则的一些性质.然后在多标记背景的基础上,引入决策标记得到多标记决策背景,进一步探讨标记规则之间的冗余问题.再通过粒标记规则定义多标记决策背景的协调性,提出在保持协调性的前提下选择最优标记的方法.最后通过数值实验说明文中算法的有效性.

Firstly, several kinds of multi-scale contexts are defined firstly, the notion of a scale rule is put forward, and some properties of scale rules are discussed. Secondly, decision scale is introduced into multi-scale contexts to form multi-scale decision contexts, and the redundancy between scale rules is also investigated. Moreover, granular scale rules are employed to define the consistency of multi-scale decision context, and an optimal scale selection method is presented grounded on the consistency guarantee of the multi-scale decision context. Finally, numerical experiments show the effectiveness of the proposed method.