基于粗糙集和模糊层次分析法的客户需求权重确定方法

Method for Determining Customer Demand Weight Based on Rough Set and FAHP

摘要:

考虑到利用粗糙集求得的客户需求权重相等或等于零的情况干扰技术设计人员而无法在产品配置过程中准确掌握客户对产品各模块的重视程度，为了避免这样的问题，合理地确定产品配置中的客户需求权重，本文提出了基于粗糙集和模糊层次分析法的集成分析方法，将主、客观方法结合，大大提高了客户需求权重的准确性。先利用粗糙集初步确定客户需求权重，再利用模糊层次分析法深入考虑客户需求的自相关性，以修正客户需求初始权重相等或等于零的情况，最后选择合理的主、客观权重偏好系数，利用线性加权组合法将主、客观客户需求权重结合起来得到最终的客户需求权重。最后通过一个具体的产品定制为案例，验证了本文方法的可行性和有效性。

Abstract:

Considering the weights of customer demands accounted by rough set may be equal or equal to zero, so that the technical designers can not accurately grasp the customer's attention to the various modules of the product in the process of product configuration. In order to avoid this problem and determine the weights of customer demands in product configuration reasonably, this paper puts forward an integrated analysis method based on rough set and fuzzy analytic hierarchy process (FAHP). Through combining subjective and objective methods, this method improves the accuracy of customer demands weights greatly. Firstly, by using rough set, this paper determines the preliminary weights of customer demands. Then in order to improve the preliminary weights of customer demands and to solve the problem that they may be equal or equal to zero, this paper uses FAHP to consider the self-correlation of customer demands deeply. Finally, this paper chooses the reasonable subjective and objective weight preference coefficient and uses linear weighted combination method to combine the weights of objective and subjective customer demands, so we can get the final weights of customer demands. In the end, the feasibility and effectiveness of this method is verified by a specific product customization.