Design concept evaluation based on rough number and information entropy theory


Concept evaluation at the early phase of product development plays a crucial role in new product development. It determines the direction of the subsequent design activities. However, the evaluation information at this stage mainly comes from experts' judgments, which is subjective and imprecise. How to manage the subjectivity to reduce the evaluation bias is a big challenge in design concept evaluation. This paper proposes a comprehensive evaluation method which combines information entropy theory and rough number. Rough number is first presented to aggregate individual judgments and priorities and to manipulate the vagueness under a group decision-making environment. A rough number based information entropy method is proposed to determine the relative weights of evaluation criteria. The composite performance values based on rough number are then calculated to rank the candidate design concepts. The results from a practical case study on the concept evaluation of an industrial robot design show that the integrated evaluation model can effectively strengthen the objectivity across the decision-making processes.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > Adaptive communications networks research group
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Event Title: 2015 Smart World Congress
Event Type: Other
Event Dates: 2015-08-10 - 2015-08-14
Uncontrolled Keywords: composite performance value,design concept evaluation,information entropy,rough number,subjectivity,Computer Networks and Communications,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Health Informatics
ISBN: 978-1-4673-7211-4
Last Modified: 01 Jul 2024 07:37
Date Deposited: 23 Sep 2016 07:14
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2016-07-21
Accepted Date: 2015-08-01
Authors: Hu, Jie
Zhu, Guoniu
Qi, Jin
Peng, Yinghong
Peng, Xiaohong (ORCID Profile 0000-0002-0608-233X)



Version: Accepted Version

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