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An Approach to Represent and Communicate Product or System Design Ideas at the Fuzzy-Front End of the Design Process
Open AccessArticle

A Possibilistic Approach for Aggregating Customer Opinions in Product Development

Bangladesh Institute of Management, 4 Sobhanbag, Mirpur Road, Dhanmandi Dhaka-1207, Bangladesh
Kitami Institute of Technology, Koen-cho 165, Kitami, Hokkaido 090-8507, Japan
Author to whom correspondence should be addressed.
Academic Editor: Paul G. Ranky
Systems 2016, 4(2), 17;
Received: 10 December 2015 / Revised: 7 March 2016 / Accepted: 15 March 2016 / Published: 23 March 2016
(This article belongs to the Special Issue Product, Process, System Design Review Methods and Tools)
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 computing approach is a better option. Based on this contemplation, this study describes a methodology to identify the status of a product feature in terms of must-be, should-be, or could-be categories, where the collected customer opinions are computed using a logical approach. Possibility distributions (i.e., fuzzy numbers) play a significant role in the logical computation. A Kano-model-based questionnaire is employed to collect the customer opinions. Through a case study, it is demonstrated that the proposed approach is effective in dealing with both the subjectivity and controversy that the customer opinions may exhibit. The results of this study are useful for making decisions in the early stage of a product development process in a lucid manner. View Full-Text
Keywords: product development; customer needs; Kano model; fuzzy logic; information content product development; customer needs; Kano model; fuzzy logic; information content
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Rashid, M.M.; Ullah, A.S. A Possibilistic Approach for Aggregating Customer Opinions in Product Development. Systems 2016, 4, 17.

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