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一种基于优势粗糙集的多属性决策排序方法

李佳 梁吉业 庞天杰

南京大学学报(自然科学版)2016,Vol.52Issue(5):844-852,9.
南京大学学报(自然科学版)2016,Vol.52Issue(5):844-852,9.DOI:10.13232/j.cnki.jnju.2016.05.010

一种基于优势粗糙集的多属性决策排序方法

A sorting method of multi-attribute decision making based on dominance rough set theory

李佳 1梁吉业 1庞天杰2

作者信息

  • 1. 太原师范学院计算机科学与技术系,晋中,030619
  • 2. 山西大学计算智能与中文信息处理教育部重点实验室,太原,030006
  • 折叠

摘要

Abstract

The essence of the multi‐attribute decision making problems is to analyze ,sort ,select and evaluate the alternative objects by existing decision‐making information ,aiming to find a simple and convenient method of sorting .However ,the dominance relation is an important method of solving the multi‐attribute decision making problems .Firstly ,Dominance Rough Set Theory is used for detailed analysis on decision‐making objects .On this basis ,according to the research of the sorting methods in the complete ordered information system ,we propose a dominance degree sorting method based on attribute weight to solve the problem that parallel decision phenomenon maybe result in the sorting failure in multi‐attribute decision making sorting results .This new sorting method takes into account the importance of attributes in the sorting results ,and introduces the attribute measurement based on information quantity into the dominance degree sorting method ,to further refine the result of the sort .Furthermore , a specific real example was used to show the validity and advantages of this method .Finally ,compared with other sorting methods in specific cases ,the results illustrate that the new sorting method can not only solve the schedule problem in real life ,but also make the sorting results more reasonable and effective .

关键词

多属性决策/优势粗糙集/信息量/属性权重/排序方法

Key words

multi-attribute decision making/dominance rough set theory/information quantity/attribute weight/sorting method

分类

信息技术与安全科学

引用本文复制引用

李佳,梁吉业,庞天杰..一种基于优势粗糙集的多属性决策排序方法[J].南京大学学报(自然科学版),2016,52(5):844-852,9.

基金项目

国家自然科学基金(61273294),山西省回国留学人员科研项目 ()

南京大学学报(自然科学版)

OACSCDCSTPCD

0469-5097

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