基于层次粗糙集优势度的排序方法

Zixin Liu, Sen Wang, Xuesheng Liu
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引用次数: 0

摘要

本文针对信息系统中将属性集定义为偏序集的情况进行了研究。运用层次粗糙集理论,建立了知识的优势体系,并对研究对象进行了梳理。本文的主要特点是将层次粗糙集与偏序集相结合,实现信息融合,提出了一种多属性决策的排序方法。本文充分展示了层次粗糙集的灵活性,以及层次粗糙集与知识优势系统相结合的可行性。并对分选方法进行了实验,取得了满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Sorting Methods Based on Dominance of Hierarchical Rough Sets
This article is aiming at the case that attribute sets are defined as a partial order sets in the information system. Using hierarchical rough sets theory, we established the dominance system of knowledge, and sorted out the object of study. In this article, the main characteristic is combining the hierarchical rough sets with partial order sets for the purpose of information fusion, putting forward a sorting method in multiple attribute decision making. This paper fully shows the flexibility of hierarchical rough sets, and the feasibility of the combining hierarchical rough sets with dominance system of knowledge. We also did an experiment on sorting method, and satisfactory results have been achieved.
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