A Possibilistic Approach for Aggregating Customer Opinions in Product Development
نویسندگان
چکیده
منابع مشابه
A Possibilistic Approach for Aggregating Customer Opinions in Product Development
Abstract: One of the major tasks of product development is to collect the opinions of potential customers and to then find out the status of certain product features. The status of a product feature means whether or not it must, should, or could be included in the product, or even avoided. In doing so, a simple relative frequency-based computing approach is not sufficient. Rather, a logical com...
متن کاملProduct Development Decision Support System Customer-Based
Quality Function Deployment (QFD) has been traditionally used as a planning tool primarily for product development and quality improvement. In this context, many people have used QFD for making decisions on how to prioritize critical product areas from a customer perspective. However, it is the position of the author that the QFD process can be viewed as a decision support system that would enc...
متن کاملSumView: A Web-based engine for summarizing product reviews and customer opinions
In this paper, we develop SumView, a Web-based review summarization system, to automatically extract the most representative expressions and customer opinions in the reviews on various product features. Different from existing review analysis which makes more efforts on sentiment classification and opinion mining, our system mainly focuses on summarization, i.e., delivering the majority of info...
متن کاملCrowd IQ: aggregating opinions to boost performance
We show how the quality of decisions based on the aggregated opinions of the crowd can be conveniently studied using a sample of individual responses to a standard IQ questionnaire. We aggregated the responses to the IQ questionnaire using simple majority voting and a machine learning approach based on a probabilistic graphical model. The score for the aggregated questionnaire, Crowd IQ, serves...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Systems
سال: 2016
ISSN: 2079-8954
DOI: 10.3390/systems4020017