Competitive Importance ratings Determining of Customer requirements Based on Fuzzy reciprocal Preference Information
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摘要: 针对顾客需求竞争性评价和顾客对竞争性产品的偏好的模糊性,提出了基于三角模糊数的顾客需求竞争性评价矩阵的确定方法和基于三角模糊数的互反偏好矩阵估计方法。根据相应于每一位顾客基于三角模糊数的顾客需求竞争性评价矩阵和基于三角模糊数的互反偏好矩阵,通过规范化、一致化模糊信息,利用偏差最小化原理构建基于确定顾客需求竞争性重要度的模糊多目标规划模型以确定相应于每一位顾客的顾客需求竞争性重要度。采用加性加权法集结综合顾客需求竞争性重要度,以实现顾客需求模糊竞争性评价和顾客对竞争性产品的模糊偏好的集成分析。Abstract: Both competitive evaluations of Crs and diverse preferences for each competitive product provided bycustomers possess fuzziness, therefore, an approach for determining competitive evaluations matrices of Crs and anapproach for estimating reciprocal preference matrices based on triangular fuzzy number were proposed. Accordingto the competitive evaluations matrix of Crs and the reciprocal preference matrix based on triangular fuzzy numbercorresponding to each of the selected customer,, the fuzzy information was normalized and uniformed to build amulti-objective programming model, which aims at determining competitive importance ratings of Crs by using aprinciple of minimizing the total deviation, thus the competitive importance rating of each customer can beobtained. Furthermore, based on the integration of fuzzy competitive evaluations of Crs and the fuzzy reciprocalpreference for each competitive product, the additive weighted approach was employed to acquire comprehensivecompetitive importance ratings of Crs.
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Key words:
- competitive analysis /
- constrained optimization /
- customer requirements /
- matrix algebra
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