Skip to main content
SpringerLink
Log in

System adjustment of data of various nature in multidisciplinary research

  • Published:
Cybernetics and Systems Analysis Aims and scope

Abstract

An approach to the system adjustment of data of various nature used in multidisciplinary research is proposed. These data are characterized by different objective content, designated purpose, and acquisition method. Data adjustment methods were developed and used for the integrated assessment of the effect of an aggregate of threats.

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. M. Somervill and D. Rapport, Transdisciplinarity: Recreating Integrated Knowledge, EOLSS Publ. Co. Ltd., Oxford (2000).

    Google Scholar 

  2. S. A. Aivazyan, I. S. Enyukov, and L. D. Meshalkin, Applied Statistics. Analysis of Dependences: A Reference Book [in Russian], Financy i Statistika, Moscow (1985).

    Google Scholar 

  3. M. Z. Zgurovsky, A. A. Boldak, and S. V. Voitko, “An analysis of sustainable development: Global and regional contexts,” Pt. 1 (2010), (www.wdc.org.ua).

  4. A. Newell and H. Simon, Human Problem Solving, Prentice-Hall, Englewood Cliffs (1972).

    Google Scholar 

  5. T. N. Pomerantseva and A. A. Boldak, “Multivariate statistical analysis of the influence of global threats on the security of countries of the world,” Cybern. Syst. Analysis, 46, No. 2, 200–210 (2010).

    Article  Google Scholar 

  6. M. Z. Zgurovsky, A. A. Boldak, and T. N. Pomerantseva, “Analysis of the influence of global threats on the sustainable development of countries and regions of the world using Bayesian belief networks,” Cybern. Syst. Analysis, 46, No. 5, 822–832 (2010).

    Article  Google Scholar 

  7. M. Z. Zgurovsky, “System adjustment of various nature DATA for global modelling of sustainable development,” in: Proc. 22-nd Intern. CODATA Conf., 24–27 Oct., 2010, Cape Town, South Africa (2010).

  8. S. A. Aivazyan, V. M. Bukhshtaber, I. S. Enyukov, et al., Applied Statistics. Classification and Dimension Reduction [in Russian], Financy i Statistika, Moscow (1989).

    Google Scholar 

  9. A. N. Kolmogorov and S. V. Fomin, Elements of the Theory of Functions and Functional Analysis [in Russian], 7th ed., Fizmatlit, Moscow (2004).

    Google Scholar 

  10. A. I. Orlov, Econometrics [in Russian], Ekzamen, Moscow (2004).

    Google Scholar 

  11. N. Balakrishnan, Handbook of the Logistic Distribution, Marcel Dekker, New York (1992).

    MATH  Google Scholar 

  12. Yu. M. Lisetskii and N. P. Karevina, “On the automation of expert evaluations,” Mat. Mashiny i Sistemy, No. 1, 151–162 (2008).

  13. L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning,” Information Sciences, 8, No. 3, 199–249 (Part I); 8, No. 4, 301–357 (Part II); 9, No. 1, 43–80 (Part III) (1975).

  14. D. Rutkovskaya, M. Pilinsky, and L. Rutkovsky, Neural Networks, Genetic Algorithms, and Fuzzy Systems [Russian translation], Telecom, Moscow (2004).

    Google Scholar 

  15. W. Trench, Introduction to Real Analysis, Prentice Hall/Pearson Educ., Upper Saddle River (2002).

    Google Scholar 

  16. S. Kullback and R. Leibler, “On information and sufficiency,” Ann. Math. Statist., 22, No. 1, 79–86 (1951).

    Article  MathSciNet  MATH  Google Scholar 

  17. R. Johnson, “Axiomatic characterization of the directed divergences and their linear combinations,” IEEE Trans. Inform. Theory, IT-25, No. 6, 709–716 (1979).

  18. E. M. Gabidulin and N. I. Pilipchuk, Lectures in the Information Theory [in Russian], MFTI, Moscow (2007).

    Google Scholar 

  19. C. Shannon, Works on the Information Theory and Cybernetics [in Russian], Izd. Inostr. Lit., Moscow (2002).

    Google Scholar 

  20. J. Lin and S. Wong, “Approximation of discrete probability distributions based on a new divergence measure,” Congressus Numerantiitm, 61, 75–80 (1988).

    MathSciNet  Google Scholar 

  21. J. Lin, “Divergence measure based on the Shannon entropy,” IEEE Trans. Inform. Theory, 37, No. 1, 145–191 (1991).

    Article  MathSciNet  MATH  Google Scholar 

  22. M. Z. Zgurovsky, A. A. Boldak, and S. V. Voitko, “An analysis of sustainable development: Global and regional contexts,” Pt. 2 (2010), (www.wdc.org.ua).

  23. I. Z. Batyrshin, Fundamental Operations of Fuzzy Logic and Their Generalization [in Russian], Otechestvo, Kazan (2001).

    Google Scholar 

  24. R. Cignoli, M. D’Ottaviano, and D. Mundici, Algebraic Foundations of Many-Valued Reasoning, Kluwer Acad. Publ., Dordrecht (2000).

    MATH  Google Scholar 

  25. E. Klement, R. Mesiar, and E. Pap, Triangular Norms, Springer, New York (2010).

    Google Scholar 

  26. R. Storm, Probability Theory. Mathematical Statistics. Statistical Quality Control [Russian translation], Mir, Moscow (1970).

    Google Scholar 

  27. I. Heinhold and K. W. Gaede, Ingeniur Statistic, Springler-Verlag, München–Wien (1964).

    Google Scholar 

  28. Y. Chou, Statistical Analysis with Business and Economic Applications, Rinehart and Winston, Holt (1975).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine

    M. Z. Zgurovsky & A. A. Boldak

Authors
  1. M. Z. Zgurovsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. A. Boldak
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Z. Zgurovsky.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 4, pp. 51–64, July–August 2011.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zgurovsky, M.Z., Boldak, A.A. System adjustment of data of various nature in multidisciplinary research. Cybern Syst Anal 47, 546–556 (2011). https://doi.org/10.1007/s10559-011-9336-0

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10559-011-9336-0

Keywords

Search

Navigation