Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Data set approach for solving logical equations

  • 31 Accesses

  • 1 Citations

This is a preview of subscription content, log in to check access.


  1. 1

    Kauffman S A. Metabolic stability and epigenesis in randomly constructed genetic nets. J Theory Biol, 1969, 22: 437–467

  2. 2

    Akutsu T, Miyano S, Kuhara S. Inferring qualitative relations in genetic networks and metabolic pathways. Bioinformatics, 2000, 16: 727–734

  3. 3

    Li F F. Feedback control design for the complete synchronisation of two coupled Boolean networks. Int J Syst Sci, 2016, 47: 2996–3003

  4. 4

    Li H T, Zhao G D, Meng M, et al. A survey on applications of semi-tensor product method in engineering. Sci China Inf Sci, 2018, 61: 010202

  5. 5

    Zhu Q X, Liu Y, Lu J Q, et al. Observability of Boolean control networks. Sci China Inf Sci, 2018, 61: 092201

  6. 6

    Cheng D Z. Semi-tensor product of matrices and its application to Morgan’s problem. Sci China Inf Sci, 2001, 44: 195–212

  7. 7

    Cheng D Z, Qi H S. A linear representation of dynamics of Boolean networks. IEEE Trans Autom Control, 2010, 55: 2251–2258

  8. 8

    Qiao Y P, Qi H S, Cheng D Z. Partition-based solutions of static logical networks with applications. IEEE Trans Neural Netw Learn Syst, 2018, 29: 1252–1262

  9. 9

    Kim K. Boolean Matrix Theory and Applications. New York: Marcel Decker, 1982

Download references


This work was supported by National Natural Science Foundation of China (Grant No. 61773371).

Author information

Correspondence to Jun-E Feng.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wang, S., Feng, J., Yu, Y. et al. Data set approach for solving logical equations. Sci. China Inf. Sci. 63, 169202 (2020). https://doi.org/10.1007/s11432-018-9536-3

Download citation