Fuzzy Reasoning Approach for Conceptual Design

Authors:
Hailin Feng;Chenxi Shao;Yi Xu
Affiliations:
School of Information Science and Technology, Zhejiang Forestry University, Hangzhou, China 311300;Computer Science Depart., University of Science and Technology of China, Hefei, China 230027;Computer Science Depart., University of Science and Technology of China, Hefei, China 230027
Venue:
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Year:
2008

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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.