Abstract
To deal with incomplete quantitative information in configuration design stage, a fuzzy approach is presented for conceptual design. Fuzzy information vector and fuzzy constraint matrices were given for the description of components selected. Fuzzy sign algebra was used to build the reasoning rules and create the configuration branches. The possible reasonable spatial configurations of mechanisms were predicted with the constraint spread rules. Reasoning structure for space configuration was given to determine the configuration matrices and output. The result of reasoning process applied to the spatial configuration inside a mechanism shows that the fuzzy approach is effective for conceptual design with little quantitative information.
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Feng, H., Shao, C., Xu, Y. (2008). Fuzzy Reasoning Approach for Conceptual Design. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_25
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DOI: https://doi.org/10.1007/978-3-540-87734-9_25
Publisher Name: Springer, Berlin, Heidelberg
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