Skip to main content
SpringerLink
Log in

Group decision-making methods for adapting solutions derived from case-based reasoning

  • Published:
Scientific and Technical Information Processing Aims and scope

Abstract

An approach to adapting solutions that are derived from case-based reasoning is considered. The approach is based on the use of group decision-making methods. The proposed approach can be regarded as a new method of transformational adaptation in the context of planning. Cases that are used for solving planning problems contain plans in the form of totally or partially ordered action sequences (parts of solution). As a result of using the proposed approach, existing plans are transformed into a single plan that is precisely used to support decision making in a new situation. A detailed description of the approach and an example of its use in solving a real-life problem are given.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Aamodt, A. and Plaza, E., Case-based reasoning: foundational issues, methodological variations, and system approaches, AI Commun., 1994, vol. 7, no. 1, pp. 39–59.

    Google Scholar 

  2. Bergmann, R., Experience Management: Foundations, Development Methodology, and Internet-Based Applications, Springer, 2002.

    Google Scholar 

  3. Marir, F. and Watson, I.D., Case-based reasoning: A review, Knowl. Eng. Rev., 1994, vol. 9, no. 4, pp. 355–381.

    Article  Google Scholar 

  4. Varshavskii, P.R. and Eremeev, A.P., Case-based reasoning simulation in intellectual decision support systems, Iskusstv. Intell. Prinyat. Reshen., 2009, no. 2, pp. 45–57.

    Google Scholar 

  5. De Mantaras, R. Lopez, Mcsherry, D., Bridge, D., Leake, D., Smyth, B., Craw, S., Faltings, B., Maher, M. L., Cox, M. T., Forbus, K., Keane, M., Aamodt, A., and Watson, I., Retrieval, reuse, revision and retention in case-based reasoning, Knowl. Eng. Rev., 2005, vol. 20, no. 20(3), pp. 215–240.

    Article  Google Scholar 

  6. McSherry, D., An adaptation heuristic for case-based estimation, Lect. Notes Comput. Sci., 1998, vol. 1488, pp. 184–195.

    Article  Google Scholar 

  7. Wilke, W., Smyth, B., and Cunningham, P., Using configuration techniques for adaptation, Lect. Notes Comput. Sci., 1998, vol. 1400, pp. 139–168.

    Article  Google Scholar 

  8. Plaza, E. and Arcos, J.L., Constructive adaptation, Lect. Notes Comput. Sci., 2002, vol. 2416, pp. 306–320.

    Article  Google Scholar 

  9. Mitra, R. and Basak, J., Methods of case adaptation: A survey, Int. J. Intell. Syst., 2005, vol. 20, no. 6, pp. 627–645.

    Article  MATH  Google Scholar 

  10. Muñoz-Avila, H. and Cox, M., T., Case-based plan adaptation: An analysis and review, IEEE Intell. Syst., 2008, vol. 23, no. 4, pp. 75–81.

    Article  Google Scholar 

  11. Cox, M.T., Muñoz-Avila, H., and Bergmann, R., Case-based planning, Knowl. Eng. Rev., 2006, vol. 20, no. 3, pp. 283–287.

    Article  Google Scholar 

  12. Mirkin, B.G., Problema gruppovogo vybora (The Problem of Group Selection), Moscow: Nauka, 1974.

    MATH  Google Scholar 

  13. Larichev, O.I., Teoriya i metody prinyatiya reshenii (Theory and Methods of Decision Making), Moscow: Logos, 2000.

    Google Scholar 

  14. Petrovskii, A.B., Teoriya prinyatiya reshenii (Decision Theory), Moscow: Akademiya, 2009.

    Google Scholar 

  15. Berman, A.F., Nikolaichuk, O.A., Pavlov, A.I., and Yurin, A.Yu., The use of precedents to justify measures to prevent failure of mechanical systems, Trudy Odinnadtsatoi Natsional’noi konferentsii po iskusstvennomu intellektu s mezhdunarodnym uchastiem KII-08 (Proc. 11th Nat. Conf. on Artificial Intelligence with International Participation KII-08), Moscow: Lenand, 2008, vol. 2, pp. 106–113.

    Google Scholar 

  16. Maltugueva, G.S. and Yurin, A.Yu., Application of group selection methods and case-based expert systems to support activities on failure prevention, Trudy konferentsii Dvenadtsataya natsional’naya konferentsiya po iskusstvennomu intellektu s mezhdunarodnym uchastiem KII-2010 (Proc. 12th Nat. Conf. on Artificial Intelligence with International Participation KII-2010), Moscow: Fizmatlit, 2010, vol. 3, pp. 146–154.

    Google Scholar 

  17. Lepskii, A.E. and Bronevich, A.G., Matematicheskie metody raspoznavaniya obrazov: Kurs lektsii (Mathematical Methods of Pattern Recognition: Lectures), Taganrog: TTI YuFU, 2009. vol. 155.

    Google Scholar 

  18. Berman, A.F., Nikolaichuk, O.A., Pavlov, A.I., and Yurin, A.Yu., The intelligent decision support system in determining the causes of failures and accidents in the petrochemical industry, Autom. Prom-st., 2006, no. 6, pp. 15–17.

    Google Scholar 

  19. Berman, A.F., Khramova, V.K., and Nikolaichuk, O.A., Database on failures in equipment of high-pressure chemical-technological lines for production of polyethylene, in Svidetel’stvo ob ofitsial’noy registratsii bazy dannykh. M. Reg. No 9900.0 ot 26.02.99 (Certificate of Official Database Registration. Reg. no. 9900.0 from February 26, 1999, Moscow: Rospatent, 1999.

    Google Scholar 

  20. Maltugueva, G.S. and Yurin, A.Yu., The collective choice algorithm based on the generalized rankings for decision support, Sovremen. Tekhnol. Sist. Anal. Model-e, 2009, no. 3, pp. 57–62.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of System Dynamics and Control Theory, Siberian Branch, Russian Academy of Sciences, Irkutsk, 664033, Russia

    A. Yu. Yurin

Authors
  1. A. Yu. Yurin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. Yu. Yurin.

Additional information

Original Russian Text © A.Yu. Yurin, 2013, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2013, No. 3, pp. 78–85.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yurin, A.Y. Group decision-making methods for adapting solutions derived from case-based reasoning. Sci. Tech.Inf. Proc. 42, 375–381 (2015). https://doi.org/10.3103/S014768821505010X

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S014768821505010X

Keywords

Search

Navigation