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中国管理科学

中国管理科学 ›› 2006, Vol. ›› Issue (3): 51-55.

• 论文 • 上一篇    下一篇

挖掘客户潜在需求确定指标重要程度的证据组合方法

邓明荣1, 吴红梅2   

  1. 1. 浙江大学管理学院, 杭州, 310058;
    2. 浙江大学城市学院, 杭州, 310015
  • 收稿日期:2006-02-06 修回日期:2006-03-31 出版日期:2006-06-28 发布日期:2012-03-07

An Approach for Customer Requirement Mining and Attribute Weight Estimating Based on Evidence Combination

DENG Ming-rong1, WU Hong-mei2   

  1. 1. School of Management, Zhejiang University, Hangzhou 310058, China;
    2. City College, Zhejiang University, Hangzhou 310015, China
  • Received:2006-02-06 Revised:2006-03-31 Online:2006-06-28 Published:2012-03-07

PDF (PC)

1835

被引次数

6

摘要： 在现实中,属性(例如产品的各种指标)的权重常常与特定客户的需求有关,因此这些客户的偏好信息对权重的确定非常重要.这种信息不一定就直接体现在对属性的重视程度上,而可能表现在对一组具体产品的偏好关系上.在对产品的指标评价时还会存在一些无知性.针对这些情况,本文给出一个基于证据理论和目标规划、挖掘客户潜在需求的指标权重估计方法,并结合一个计算示例,给出具体的计算过程.

关键词: 权值估计, 证据组合, 目标规划

Abstract: In reality,the weights of attributes(e.g.indices of a product) often depend on the requirement of the customer.Hency the customer preference information is important for weight identifyiing.Such information may be not direct expressed as importance attached to attributes,but implied in their preference on a set of given alternatives.Along with the attribute evaluation,there also maybe exists uncertainty of ignorance.For this kind of circumstance,an attribute weight estimating method based on mining the latent customer requirement is proposed.The theory of evidence combination and goal programming is employed in the procedure.An illustration example is given.

Key words: weight estimation, evidence combination, goal programming

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