基于三枝决策粗糙集的供应链合作伙伴选择方法  

A Three-way Approach with Decision-theoretic Rough Sets to the Selection of Partners in Supply Chains

作　　者：钟映竑[1] 黄鑫[1] 

机构地区：[1]广东工业大学,广州510520

出　　处：《工业技术经济》2013年第12期90-95,共6页Journal of Industrial Technological Economics

基　　金：教育部人文社会科学规划项目(项目编号:12YJA630199);广东省哲学社会科学学科共建项目(项目编号:GD10XGL02)

摘　　要：选择合适的合作伙伴对提升供应链竞争力具有重要的战略意义。选择合作伙伴的常见方法有:线性加权法、数学规划法和层次分析法等,在存在噪声的实际决策环境中,大多数评价和选择方法缺乏对误分类的容错能力。本文根据三枝决策粗糙集理论,提出了一种新的方法来选择合作伙伴。该方法引入了最小风险贝叶斯决策理论,采用定量的概率包含关系来度量对象集合相对于目标概念的隶属度(条件概率),找出最小期望风险的决策,将其作为划分正域、负域和边界域的基本依据。本文给出了该方法的具体步骤,并通过算例对其有效性进行了验证。It is of great importance to select appropriate partners to promote the competence of supply chains . The common selection approaches includes linear weighting , mathematical planning , AHP , etc . In real decision problems with noise , many of the above evalu-ation and selection approaches are lack of fault tolerance for incorrect classification . This paper proposes a three -way decision approach to the selection of partners based on decision-theoretic rough sets . It introduces Bayesian decision theory for the minimization of risks . It measures the membership , namely conditional probabilities , of the objectives by adopting quantitative probability inclusion relationship . The minimized expected risk provides the principle for the classification of positive , negative and boundary regions . Detailed steps are pro-posed . The validity of the approach is demonstrated by an example .

关 键 词：供应链合作伙伴 三枝决策粗糙集 贝叶斯决策 

分 类 号：F274[经济管理—企业管理]