Data-driven implicit design preference prediction model for product concept evaluation via BP neural network and EEG-Reference-Cited by-同舟云学术

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Data-driven implicit design preference prediction model for product concept evaluation via BP neural network and EEG

Published:2023-10 Issue: Volume:58 Page:102213
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Jing Liting,Tian Chulin,He Shun,Feng Di,Jiang Shaofei,Lu Chunfu

Funder

China Postdoctoral Science Foundation

Natural Science Foundation of Zhejiang Province

Zhejiang University of Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference81 articles.

1. A rough set-based interval-valued intuitionistic fuzzy conceptual design decision approach with considering diverse customer preference distribution;Jing;Adv. Eng. Inf.,2021

2. A conceptual design decision approach by integrating rough Bayesian network and game theory under uncertain behavior selections;Jing;Expert Syst. Appl.,2022

3. Enhanced customer requirement classification for product design using big data and improved Kano model;Shi;Adv. Eng. Inf.,2021

4. Integrating QFD for product-service systems with the Kano model and fuzzy AHP;Haber;Total Qual. Manag. Bus.,2020

5. A function combined baby stroller design method developed by fusing Kano, QFD and FAST methodologies;Wu;Int. J. Ind. Ergonom.,2020

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