An Uncertainty Evolution Model for Product Conceptual Design Based on Fuzzy Reasoning Petri Nets
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7381-8_85
Reference12 articles.
1. Kreye, M.E., Cash, P.J., Parraguez, P., et al.: Dynamism in complex engineering: Explaining uncertainty growth through uncertainty masking. IEEE Trans. Eng. Manage. (2019). https://doi.org/10.1109/TEM.2019.2937570
2. Jing, L., Jiang, S., Li, J., et al.: A cooperative game theory based user-centered medical device design decision approach under uncertainty. Adv. Eng. Inf. 47, 101204 (2021)
3. Ali, H., Lande, M.: Data-driven decisions in prototyping and product development: a framework for uncertainty and decision-making. In: Proceedings of the ASME 2019 International Mechanical Engineering Congress and Exposition. Volume 14: Design, Systems, and Complexity. Salt Lake City, Utah, USA, 11–14 Nov 2019, V014T14A039. ASME. https://doi.org/10.1115/IMECE2019-11671
4. Peng, H., Shi, B., Wang, X., Xie, X., Sun, L.: Trajectory planning of double pendulum crane considering interval uncertainty. J. Mech. Eng. 55(2), 204–213 (2019). (in Chinese)
5. Morse, E., Dantan, J.Y., Anwer, N., et al.: Tolerancing: Managing uncertainty from conceptual design to final product. CIRP Ann. 67(2), 695–717 (2018)
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