A review of intelligent fault diagnosis for high-speed trains: Qualitative approaches

C Cheng, J Wang, H Chen, Z Chen, H Luo, P Xie - Entropy, 2020 - mdpi.com
For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique
plays an important role. Benefiting from the rapid developments of artificial intelligence …

Affective design using machine learning: a survey and its prospect of conjoining big data

KY Chan, CK Kwong, P Wongthongtham… - … Journal of Computer …, 2020 - Taylor & Francis
Customer satisfaction in purchasing new products is an important issue that needs to be
addressed in today's competitive markets. A product with good affective design excites …

Integrating aesthetic and emotional preferences in social robot design: An affective design approach with Kansei Engineering and Deep Convolutional Generative …

Y Gan, Y Ji, S Jiang, X Liu, Z Feng, Y Li, Y Liu - International Journal of …, 2021 - Elsevier
Recently, many companies have increasingly emphasized product appearance aesthetics
and emotional preference-based design to enhance the competitiveness and popularity of …

A proposal of the event-related potential method to effectively identify kansei words for assessing product design features in kansei engineering research

F Guo, QX Qu, M Nagamachi, VG Duffy - International Journal of Industrial …, 2020 - Elsevier
The effective acquisition of kansei words for assessing product design features plays a
decisive role in knasei engineering research, whereas previous studies rarely give a full …

A novel approach of integrating natural language processing techniques with fuzzy TOPSIS for product evaluation

T Wang - Symmetry, 2022 - mdpi.com
Product designers need to fully understand consumers' emotional preferences and
responses for product forms to improve products. However, users and designers have …

Combining rough set theory and support vector regression to the sustainable form design of hybrid electric vehicle

X Kang - Journal of Cleaner Production, 2021 - Elsevier
With the popularity of cleaner production and sustainable concepts, hybrid electric vehicle
(HEV) has become the most popular alternative after fuel vehicles. Hybrid electric …

Data-driven innovation to capture user-experience product design: An empirical study for notebook visual aesthetics design

CF Chien, R Kerh, KY Lin, API Yu - Computers & Industrial Engineering, 2016 - Elsevier
Visual aesthetics is a critical factor of new product design to capture customer attention and
create positive emotional reaction to enhance the customer satisfaction. Understanding user …

Aesthetic product design combining with rough set theory and fuzzy quality function deployment

X Kang - Journal of Intelligent & Fuzzy Systems, 2020 - content.iospress.com
The emotional value of products, especially aesthetic qualities are conducive to increasing
the market competitiveness along with the improvement of living standards. Therefore, the …

Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features …

Z Li, K Shi, N Dey, AS Ashour, D Wang… - Neural Computing and …, 2017 - Springer
Nonlinear operators for KANSEI evaluation dataset were significantly developed such as
uncertainty reason techniques including rough set, fuzzy set and neural networks. In order to …

Evolution and emerging trends of kansei engineering: A visual analysis based on citespace

S Lin, T Shen, W Guo - Ieee Access, 2021 - ieeexplore.ieee.org
Today's development focuses on the integration of affective meaning into products and
services. Kansei Engineering (KE) is a technology that establishes the relationship between …