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优势模糊区间目标粗糙集模型的群决策规则获取及应用

江效尧 黄兵

南京大学学报:自然科学版2012,Vol.48Issue(4):429-435,7.
南京大学学报:自然科学版2012,Vol.48Issue(4):429-435,7.

优势模糊区间目标粗糙集模型的群决策规则获取及应用

Rules acquisition of group decision-making based on dominance and fuzzy interval objective rough set model and its application

江效尧 1黄兵1

作者信息

  • 1. 南京审计学院信息科学学院,南京211815
  • 折叠

摘要

Abstract

In group decision-making theory and its applications how to acquire reasonable and effective group decision rules is one of important issues. In recent years, research on combing rough set theory with group decision- making has become one of hot topics in rough set theory. However, group decision rules acquisition based on rough set has been scarcely studied. This paper constructs a dominance relation-based fuzzy interval decision rough set model (RSM) in dominance fuzzy group decision systems where the conditional attributes are taken dominance notion values and the decision attribute is taken fuzzy values through examing the relation between the dominance classes determined by a conditional attribute set and their corresponding fuzzy decision values and proposes three knowledge reduction definitions called as dominance-based lower, dominance-based upper and dominance-based approximation reduction. Using discernibility matrix and discernibility function we devise a kind of lower approximation reduction algorithms for dominance-based fuzzy interval objective information systems. Finallywe apply this model to acquire audit risk assessment rules for bussiness banks and obtain some reasonable audit riskassessment rules for bussiness banks, which can be used to assistant auditors to judge audit risk during bussiness bank auditing. This aprroach presented in this paper can also be applied to other similar fields.

关键词

粗糙集模型/优势关系/模糊区间目标系统/规则获取/审计风险评估

Key words

rough set model/dominance relation/fuzzy interval objective systems/rules acquisition/audit risk assessment

分类

计算机与自动化

引用本文复制引用

江效尧,黄兵..优势模糊区间目标粗糙集模型的群决策规则获取及应用[J].南京大学学报:自然科学版,2012,48(4):429-435,7.

基金项目

国家自然科学基金(61170105),江苏省自然科学基金(BK2009395),江苏高校优势学科建设工程 ()

南京大学学报:自然科学版

OACSCDCSTPCD

0469-5097

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