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一种基于Rough集理论的最小风险决策规则提取方法
引用本文:王黔英.一种基于Rough集理论的最小风险决策规则提取方法[J].南昌大学学报(理科版),2005,29(3):296-297,306.
作者姓名:王黔英
作者单位:南昌大学,管理科学与工程系,江西,南昌,330047
摘    要:波兰科学家Zdzisilaw Pawlak将概率统计中的Bayesian公式与Rough集模型相结合建立基于决策理论的概率模型,给出了一系列的决策规则及相关讨论。在此基础上结合在银行信贷分析的实际例子描述了基于Rough集理论的最小风险决策规则提取方法及它的实际应用,可以看出这为非结构化风险决策问题提供了一条很好的辅助决策的途径。

关 键 词:决策规则  Rough集理论  最小风险
文章编号:1006-0464(2005)03-0296-02

A EXTRACTING METHOD OF MINIMUM HAZARD DECISION RULES BASED ON ROUGH SET THEORY
WANG QIAN-YING.A EXTRACTING METHOD OF MINIMUM HAZARD DECISION RULES BASED ON ROUGH SET THEORY[J].Journal of Nanchang University(Natural Science),2005,29(3):296-297,306.
Authors:WANG QIAN-YING
Abstract:Z. Pawlak discussed the decision rules and relative problems via the combination of Bayesian formula with the model of rough sets, and to establish probability model based on decision theory.By the idea, This paper describes a extracting method of minimum hazard decision rules based on rough set theory. And its applications are illustrated with real examples in bank credit analysis.The method provides a better solving path for non-structure decision problems.
Keywords:decision rule  Rough set theory  minimum hazard
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