Designing Genetic Regulatory Network with Fuzzy Logic

  • Authors:

  • Jianwei Shen;Yi Wang;Zengrong Liu

  • Affiliations:

  • Department of Mathematics, Xuchang University, Xuchang, China 461000 and School of Science and Institute of System Biology, Shanghai University, Shanghai, China 200444;School of Science and Institute of System Biology, Shanghai University, Shanghai, China 200444;School of Science and Institute of System Biology, Shanghai University, Shanghai, China 200444

  • Venue:
  • ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
  • Year:
  • 2008

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Abstract

Based on the fact that fuzzy system is universal approximator , we made use of fuzzy system to design the genetic regulatory network. First, we viewed the differential equation as difference equation and classified the input data in term of time point and obtained the output data, so the system can be viewed as the two-input and one output system. Second, we fuzzy the spaces of input and output. Third, according to the theory of fuzzy system, we designed a fuzzy genetic regulatory network. In this paper, we established connection between discrete data and continuous data, and investigated the dynamical behaviors of gene network.