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Weighted Splicing Systems

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Book cover Computational Intelligence and Intelligent Systems (ISICA 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 316))

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Abstract

In this paper we introduce a new variant of splicing systems, called weighted splicing systems, and establish some basic properties of language families generated by this type of splicing systems. We show that a simple extension of splicing systems with weights can increase the computational power of splicing systems with finite components.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Putra Malaysia UPM, 43400, Serdang, Selangor, Malaysia

    S. Turaev & M. Othman

  2. Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia UTM, 81310, Johor Bahru, Johor, Malaysia

    Y. S. Gan & N. H. Sarmin

  3. Ibnu Sina Institute for Fundamental Science Studies, Universiti Teknologi Malaysia UTM, 81310, Johor Bahru, Johor, Malaysia

    N. H. Sarmin & W. H. Fong

Authors
  1. S. Turaev
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  2. Y. S. Gan
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  3. M. Othman
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  4. N. H. Sarmin
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  5. W. H. Fong
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Editor information

Editors and Affiliations

  1. School of Computer Science, China University of Geosciences, Wuhan, China

    Zhenhua Li  & Xiang Li  & 

  2. School of Computer Science and Engineering, The University of Aizu, Aizu, Japan

    Yong Liu

  3. School of Computer Science, China University of Geosciences, 430074, Wuhan, China

    Zhihua Cai

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© 2012 Springer-Verlag Berlin Heidelberg

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Turaev, S., Gan, Y.S., Othman, M., Sarmin, N.H., Fong, W.H. (2012). Weighted Splicing Systems. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_46

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  • DOI: https://doi.org/10.1007/978-3-642-34289-9_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34288-2

  • Online ISBN: 978-3-642-34289-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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