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The work primarily involves two phases of concept evaluation.
Design thinking during concept evaluation contains a recursive hypothesis-driven pattern that we name generative sensing.
We investigated whether designers systematically prefer their own ideas in concept evaluation.
In this paper, a new integrated design concept evaluation approach based on vague sets is presented.
Design concept evaluation is a complicated multi-criteria decision-making problem under uncertain environments.
How to handle the vagueness and subjectivity in design concept evaluation becomes a critical issue.
The pre-intervention concept evaluation showed that the N1 students had a significantly higher score than the N2 students.
The paper proposes a framework for selecting and/or evolving improved concepts through a rigorous concept evaluation and convergence process.
Then concept evaluation and decision making are implemented using fuzzy neural network to obtain an optimal concept.
Numerical example of design concept evaluation problem of a horizontal directional drilling (HDD) machine indicates that the proposed integrated approach is systematic and effective to solve design concept evaluation problem regardless of complexity of product.
To tackle these problems, a product concept evaluation and selection approach, which comprises three modules, is proposed.
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