运用粗糙集算法改善用户满意度调查的效果和效率,通过问卷调查原始数据挖掘,识别影响产品销售的各条件属性,提取属性组合的决策规则,开辟用户导向的设计方法和市场开拓研究新路径.利用知名企业问卷调查产品对象数据,完成条件属性组合以及约简和核计算,进行决策规则归纳和筛选,以及属性重要性计算,提取旅行箱设计规则.研究发现:仅有6项关键条件属性有效影响了产品市场绩效,应根据设计规则属性水平和市场表现的依存关系科学统筹研发设计和营销策略.旅行箱的设计应该回归本源,注重产品整体效果,外观差异化和新颖性,精选优质面料,而不应把过多精力放在华而不实的功能创新以及局部细节雕饰上.%This paper seeks to apply rough sets algorithm to improve the effectiveness and efficiency in customer satisfaction survey, identify condition attributions that affect product marketing by data mining on raw data acquired through questionnaire surveys, extract decision rules of these attributions combination, provide an innovative research approach on user driven design method and market exploitation. The research is to complete the combination, reduction of the condition attributions and calculation of their core, conduct induction and screening of decision rules and significance computing of attributions, and to obtain design rules of suitcases with the questionnaire survey data for well-known enterprise on product objects, reveal that there are only six key condition attributions affect effectively the product market performance, it is necessary to according to the design rules that the dependence relationship is objective existence between discrepant level properties and market performance to implement R&D and marketing policy as a whole. Suitcase design should return to its origin, pay more attention to overall effect of product, unique and novelty of appearance, selection of high-quality fabrics, and should not focus too much mind and emotions on slick function innovation and extra finishing details.
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