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Meta-concept and Intelligent Data Processing in the Geotechnical Fields

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Advanced Computational Methods for Knowledge Engineering

Part of the book series: Studies in Computational Intelligence ((SCI,volume 479))

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Abstract

Hence, using the counter-concepts loose orconsolidation orhigh consolidation and intuitive soil or non-intuitive soil to express the knowledge of states of soil consolidation may lead to geotechnical paradoxes. Then, we need a new concept to represent the intelligent data that originates from engineer’s intuition and experiences. It requires further a new methodology for representing and information processing.

A new approach presented in this work for this and many practical problems embraces multiple research disciplines based on integration of modern philosophy, logic, mathematics and engineering experiences. They are referred as denotation representing and computing for determining the relative density of sands using CPT data. It helps us to reach unknown reality through true-false measures and ‘true-false’ analysis using the meta-concept, “true-false”, rather than approximation of the known reality through degrees of truth and ‘degree of truth’ analysis.

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References

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Correspondence to Chi Tran .

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© 2013 Springer International Publishing Switzerland

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Tran, C. (2013). Meta-concept and Intelligent Data Processing in the Geotechnical Fields. In: Nguyen, N., van Do, T., le Thi, H. (eds) Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence, vol 479. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00293-4_14

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  • DOI: https://doi.org/10.1007/978-3-319-00293-4_14

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00292-7

  • Online ISBN: 978-3-319-00293-4

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