| 基于偏最小二乘回归的产品功能可用性评价 |
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| 引用本文： | 刘攀.基于偏最小二乘回归的产品功能可用性评价[J].科学技术与工程,2011,11(8):1762-1765. |
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| 作者姓名： | 刘攀 |
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| 作者单位： | 上海交通大学工业工程与物流工程系,上海,200240 |
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| 摘 要： | 现有的产品功能可用性研究仅为提升具体功能的可用性,忽视了用户对产品功能可用性的偏好问题。为解决该问题,首次提出了基于偏最小二乘回归的产品功能可用性评价方法。在常用可用性分析方法基础上,对细分市场产品整体满意度和功能可用性进行偏最小二乘回归。结合功能可用性评价矩阵分析产品功能改进方向。最后,通过手机实例进行了方法的演示,验证该方法是产品功能可用性分析的有效方法。
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| 关 键 词： | 产品功能可用性 偏最小二乘回归 可用性评价矩阵 |
| 收稿时间： | 2010/12/23 0:00:00 |
| 修稿时间： | 2010/12/23 0:00:00 |
Product Feature Usability Evaluation Trough Partial Square Regression |
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| Liu Pan.Product Feature Usability Evaluation Trough Partial Square Regression[J].Science Technology and Engineering,2011,11(8):1762-1765. |
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| Authors: | Liu Pan |
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| Institution: | LIU Pan,WANG Li-ya (Department of Industrial Engineering & Logistics Management,Shanghai Jiaotong University,Shanghai 200240,P.R.China) |
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| Abstract: | Traditional product feature usability analysis methods aim to improve features' usability without considering customers' feature usability preference,a product feature usability evaluation method through partial square regression was raised.Based on the traditional usability measurement method,products' overall satisfaction and feature usability of one market segment could be calculated,and then the relationship could be well analyzed using partial square regression.As a result,improvement direction of feat... |
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| Keywords: | Product Feature Usability Partial Square Regression Usability Evaluation Matrix |
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