Abstract
In the decision-making process of the design scheme for the mechanical motion system, there are many ways to solve contradictory and incompatible problems, such as fuzzy theory, grey theory, artificial neural networks, genetic algorithms, extension theory etc. These artificial intelligence algorithms play different roles in solving the fuzzy, gray, incompatibility and other issues. However, extension theory has a unique advantage to solve the fault tolerance problems. This paper constructs the extension evaluation model for the design scheme of the mechanical motion system, analyzing the matter-element model for the extension evaluation method and establishing the correlation function. Through the evaluation example, it introduces the model application method. This evaluation method is simple and practical.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Yang, C.Y., Cai, W.: Extension project. Science Press, China (2007)
Ye, J.: Transactions of the Chinese Society for Agricultural Machinery 5, 107 (2007)
Cai, W., Wang, G.H.: Bulletin of National Natural Science Foundation of China 5, 268 (2004)
Ye, Z.Z., Zou, H.J., Zhang, Q., Tian, Y.L.: Chinese Journal of Mechanical Engineering 2, 253 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gong, X., Rui, Y., Ma, H. (2011). The Extension Evaluation Research on Design Scheme of Mechanical Motion System. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23345-6_43
Download citation
DOI: https://doi.org/10.1007/978-3-642-23345-6_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23344-9
Online ISBN: 978-3-642-23345-6
eBook Packages: Computer ScienceComputer Science (R0)