柔性多粒化决策理论粗糙集模型

A Flexible Multigranulation Decision-Theoretic Rough Set Model

为了解决乐观多粒化决策要求宽松和悲观多粒化决策要求过于严格的不足,本文提出了一种新型的多粒化决策粗糙集模型,即柔性多粒化决策粗糙集模型,该模型引入阈值用以调节满足条件的信息粒个数,使得模型更具灵活性.同时本文分析了该模型的相关性质并与经典模型进行了对比分析.理论分析和实验结果同时表明,本文提出的模型是传统多粒化决策粗糙集模型在应用背景下的有力扩展.

As we all know, the optimistic muhigranulation decision-theoretic rough set model was loose while pessimistic muhigranulation decision-theoretic rough set model was strict. To solve this problem, we propose a new multigranulation decision-theoretic rough set model,which is called flexible muhigranulation decision-theoretic rough set. It introduces a threshold to control the number of information granules. Such mechanism makes the model more flexible. Moreover, we also show the properties of this model and compare the model with classical muhigranulation model. The results of theo- retic analyses and experiment show that, the model proposed in this paper is a powerful expansion of the classical multi- granulation decision-theoretic rough set in real world application.