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Simulation of Fuzzy ACSH on Membranes with Michaelis-Menten Kinetics

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 681))

Abstract

Various models have been used to represent natural phenomenon in order to gain insight on what stability is. A computing model called Fuzzy abstract rewriting system on multisets, close to reality is recently designed by introducing fuzziness on computation [1]. As an extension of this model a device named Fuzzy Artificial cell system with proteins on membrane is developed and the corresponding structure is analyzed on its parameters [2]. The aim of the present study is to investigate how the choices made in a simulation affect its accuracy and therefore the reliability of the result.

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References

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Correspondence to P. Helen Chandra .

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© 2016 Springer Nature Singapore Pte Ltd.

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Karoline, J.P., Chandra, P.H., Kalavathy, S.M.S.T., Jayaseeli, A.M.I. (2016). Simulation of Fuzzy ACSH on Membranes with Michaelis-Menten Kinetics. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 681. Springer, Singapore. https://doi.org/10.1007/978-981-10-3611-8_15

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  • DOI: https://doi.org/10.1007/978-981-10-3611-8_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3610-1

  • Online ISBN: 978-981-10-3611-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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