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A Hybrid Artificial Intelligent-Based Criteria-Matching with Classification Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3614))

Abstract

Classifying dynamic behavioural based events, for example human behaviour profile, is a non-trivial task. In this paper, we propose an AI-based criteria-matching with classification algorithm which can be used to classify preference based decision outcome. The proposed algorithm is mathematically justified and with more practical benefits than a conventional multivariate discriminant analysis algorithm which is widely used for prediction tasks. Real world (Singapore) diamond dataset test results revealed the practical usefulness of our proposed algorithm to diamond sellers in Singapore.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Sim, A.T.H., Lee, V.C.S. (2005). A Hybrid Artificial Intelligent-Based Criteria-Matching with Classification Algorithm. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_19

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  • DOI: https://doi.org/10.1007/11540007_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28331-7

  • Online ISBN: 978-3-540-31828-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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