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Evidential Reasoning Based on DNA Computation

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5712))

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Abstract

The objective of this study is to present an alternative approach to solve reasoning problems. DNA computing technique shows to solve evidential reasoning problems in this study. The reasoning is here executed on the basis of the concepts of plausibility and belief function. The evidential reasoning is a process dealing with problems that having both quantitative and qualitative criteria under various uncertainties including ignorance and randomness of information. The procedure to solve reasoning problem by means of DNA computing has been illustrated. An experiment shows the steadfastness of DNA computing to reach the solution of a reasoning problem.

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Author information

Authors and Affiliations

  1. Graduate School of Information, Production and Systems, Waseda University, 2-7, Hibikino, Wakamatsu-Ku, Kitakyushu-Shi, Fukuoka-Ken, 808-0135, Japan

    Rohani Binti Abu Bakar & Junzo Watada

Authors
  1. Rohani Binti Abu Bakar
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  2. Junzo Watada
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Editor information

Editors and Affiliations

  1. University of Chile, Republica 701, 8370439, Santiago, Chile

    Juan D. Velásquez  & Sebastián A. Ríos  & 

  2. University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2009 Springer-Verlag Berlin Heidelberg

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Abu Bakar, R.B., Watada, J. (2009). Evidential Reasoning Based on DNA Computation. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_27

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  • DOI: https://doi.org/10.1007/978-3-642-04592-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04591-2

  • Online ISBN: 978-3-642-04592-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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