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A method for compiling general concepts with the use of temporal decision trees

  • Intelligence Systems and Technologies
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Abstract

Several approaches to generating temporal decision trees for diagnostic purposes and algorithms for generating decision trees are considered. The process of diagnostics based on information about possible faults is modeled. A multiagent approach is used for diagnostics in dynamics.

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References

  1. Vagin, V.N., Golovina, E.Yu., Zagoryanskaya, A.A., and Fomina, M.V., Dostovernyi i pravdopodobnyi vyvod v intellektual’nykh sistemakh, (Exact and Plausible Inference in Intelligent Systems), Moscow: Fizmatlit, 2008.

    Google Scholar 

  2. Quinlan, J.R., Induction of Decision Trees, Mach. Learn. J., 1986, vol. 1, no. 1, pp. 81–106.

    Google Scholar 

  3. Brusoni, V., Console, L., Terenziani, P., and Dupré, D., A Spectrum of Definitions for Temporal Model-Based Diagnosis, Artif. Intell., 1998, vol. 102, no. 1, pp. 39–79.

    Article  MATH  Google Scholar 

  4. Console, L., Picardi, C., and Dupré, D., Temporal Decision Trees: Model-Based Diagnosis of Dynamic Systems On-Board, J. Artif. Intell. Res., 2003, vol. 19, pp. 469–512.

    MATH  Google Scholar 

  5. Klahr, D., Langley, P., and Neches, R., Production System Models of Learning and Development, Cambridge, MA.: MIT, 1987.

    Google Scholar 

  6. Zadeh, L., Fuzzy Sets, Inf. Control, 1965, vol. 8, no. 3, pp. 338–353.

    Article  MathSciNet  MATH  Google Scholar 

  7. Pawlak, Z., Rough Sets: Theoretical Aspects of Reasoning About Data, Dordrecht: Kluwer, 1991.

    MATH  Google Scholar 

  8. Pospelov, D.A., Iskusstvennyi intellekt. Spravochnik v trekh tomakh (Artificial Intellect. A Handbook in 3 vol.), Moscow: Radio i Svyaz’, 1990.

    Google Scholar 

  9. Hunt, E., Martin, D., and Stone, F., Concept Formation, New York: John Wiley and Sons, 1966; Moscow: Mir, 1970.

    Google Scholar 

  10. Quinlan, J.R., Improved Use of Continuous Attributes in C4.5, J. Artif. Intel. Res., 1996, vol. 4, pp. 77–90.

    MATH  Google Scholar 

  11. Utgoff, P.E., Incremental Induction of Decision Trees, Mach. Learn. J., 1989, vol. 4, pp. 161–186.

    Article  Google Scholar 

  12. Karimi, K. and Hamilton, H.J., Temporal Rules and Temporal Decision Trees: a C4.5 Approach, Tech. Report CS-2001-02, 2001.

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Author information

Authors and Affiliations

  1. Moscow Power Engineering Institute (Technical University), ul. Krasnoznamennaya 14, Moscow, 121250, Russia

    S. G. Antipov & M. V. Fomina

Authors
  1. S. G. Antipov
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  2. M. V. Fomina
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Corresponding author

Correspondence to S. G. Antipov.

Additional information

Original Russian Text © S.G. Antipov, M.V. Fomina, 2010, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2010, No. 2, pp. 64–76.

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Antipov, S.G., Fomina, M.V. A method for compiling general concepts with the use of temporal decision trees. Sci. Tech.Inf. Proc. 38, 409–419 (2011). https://doi.org/10.3103/S0147688211060025

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  • DOI: https://doi.org/10.3103/S0147688211060025

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