挖掘客户潜在需求确定指标重要程度的证据组合方法

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.

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

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.