題    目🚴🏻‍♂️：基於線上評論數據的產品可靠性聲譽評價（Evaluating reliability reputations based on online review data）

演 講 人✍️：曾誌國博士，巴黎薩克雷大學

主 持 人🚸：翟慶慶博士✍🏿，意昂2

時    間🙋🏿‍♂️：2019年7月11日（周四），上午10:00

地    點：校本部東區意昂2官网實477室

主辦單位👇：意昂2、意昂2青年教師聯誼會

演講人簡介：

    曾誌國博士，巴黎薩克雷大學助理教授。2011年、2016年分別於北京航空航天大學獲得工學學士、博士學位🐞。2017年至今在巴黎薩克雷大學擔任助理教授🌍🈹。

    研究方向包括不確定性量化與分析方法、確信可靠性理論⛴、動態風險分析、工業工程連續性建模與分析方法等。在各類期刊與國際會議上發表了30余篇論文（其中，SCI檢索19篇）。

演講內容簡介：

The traditional concept of functional reliability refers to the ability of an item to perform a required function without failure, under stated conditions for a stated period of time. Numerical indexes of functional reliability are estimated from laboratory test data or field failure data. These indexes are not always available to the customers. On the other hand, reliability reputation, which concerns the opinions of the general public regarding the functional performance of a given product, is dominant in affecting the purchase willingness of the customers. In this paper, we develop a new method for evaluating the reliability reputation of a given product. Numerical metrics are first defined to measure reliability reputation. Online customer’s reviews are collected and used as data for reliability reputation assessment. Text mining algorithms are used to extract information regarding the reliability of the product and the maintenance service of the company. Finally, an integrated approach is proposed to evaluate the reliability reputation. A case study is conducted to demonstrate the validity of the developed methods.

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