Abstract
This article presents a mathematical model construction approach for functioning systems. To perform functioning system analyses with the goal to establish correct work conditions, heuristical problem solving way and mathematical modeling can be used. Topological modeling is an effective tool to develop mathematical models for heterogeneous systems when the available information is insufficient. Within this article, the authors provide a theoretical background and introduce topological model elements, functions, features, and construction phases. A practical model construction process is adapted to be used for medicine tasks. A topological model for multiple diseases is developed. It is used as a mechanism to model the course of a disease and the effect of the applied therapy. Using the proposed criteria for evaluating the chosen therapy and multi-objective optimization techniques make it possible to prescribe the optimal therapy complex for an individual patient.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bender, E.A.: An Introduction to Mathematical Modelling, p. 272. Dover, New York (2000)
Collette, Y., Siarr, P.: Multiobjective optimization: principles and case studies, 1st edn. Corr 2nd printing, p. 293. Springer (2003)
Grundspenkis, J., Isajeva, L.: Qualitative Analysis of Complex Systems within the Framework of Structural Modelling. In: Proceedings of the International Conference Modelling and Simulation of Business Systems, pp. 180–184. Kaunas University of Technology Press, Technologia (2003)
Hahn, G., Tardif, C.: Graph homomorphisms: structure and symmetry. In: Graph Symmetry. ASI ser. C, pp. 107–166. Kluwer (1997)
Hell, P., Nesetril, J.: Graphs and homomorphisms. Oxford lecture series in mathematics and its applications, p. 244. Oxford University Press (2004)
Kamat, R.K.: Modeling and analysis of biologically inspired robot. International Journal of Advanced Computer and Mathematical Sciences 1(1), 7–11 (2010)
Karpics, I., Markovics, Z.: Development and evaluation of normal performance recovery method of a functional system. In: Scientific Proceedings of 9th IEEE International Symposium on Applied Machine Intelligence and Informatics (SAMI 2011), pp. 171–175 (2011)
Karpics, I., Markovics, Z., Markovica, I.: Composition of united multiple diseases evolution topological model. In: IEEE 9th International Symposium on Intelligent Systems and Informatics (SISY 2011), pp. 65–69 (2011)
Keeney, R.L., Raiffa, H., Decision, H.: with Multiple Objctives: Preferences and value tradeoff., p. 569. Cambridge University Press (1993)
Kolmogorov, A.N., Fomin, S.V.: Elements of the theory of functions and functional analysis. Metric and Normed Spaces, vol. 1, p. 129. Dover, New York (1957)
Kolmogorov, A.N., Fomin, S.V.: Elements of the theory of functions and functional analysis. Measure. The Lebesgue integral. Hilbert space, vol. 2, p. 128. Dover, New York (1961)
Laue, R.: Elemente der Graphentheorie und ihre anwendung in den biologischen Wissenschaften, p. 137. Akad. Verlagsgesellschaft, Leipzig (1970)
Markovics, Z.: Expert evaluation methods (RTU, Latvia), p. 110 (2009)
Markovics, Z., Markovica, I.: Variants of Computer Control for Systems Recovering. Scientific Journal of RTU. 5. series Computer science - 6. Computer control technologies (RTU, Latvia), 6–15 (2001)
Markovics, Z., Markovica, I., Makarovs, J.: The Alternative Conception on Therapy Selec-tion. Scientific Journal of RTU. 5. series., Computer science - 11. Computer control technologies (RTU, Latvia), pp. 19–27 (2002)
Marler, R.T., Arora, J.S.: Survey of multi-objective optimization methods for engineering. Struct. Multidisc. Optim. 26, 369–395 (2004)
Osis, J.: Topological Model of System Functioning. Automatics and Computer Science. J. of Acad. of Sc, Riga, Latvia, 44–50 (1969)
Osis, J., Asnina, E.: Model-Driven Domain Analysis and Software Development: Architectures and Functions, p. 489. IGI Global, New York (2011)
Osis, J., Sukovskis, U., Teilans, A.: Business Process Modeling and Simulation Based on Topological Approach. In: Proceedings of the 9th European Simulation Symposium and Exhibition, Passau, Germany, pp. 496–501 (1997)
Pearl, J.: Heuristics: Intelligent Search Strategies for Computer Problem Solving, p. 48. Addison-Wesley (1984)
Rashevsky, N.: A remark on the possible use of nonoriented graphs in biology. Bulletin of Mathematical Biology 30(2), 30 (1968)
Rosen, R.: A relational theory of the structural changes induced in biological system. Bull. Math. Biophysics 23(2), 165–171 (1961)
Stalidzans, E., Krauze, A., Berzonis, A.: Modelling of energetical balance of honeybee wintering generation. In: Proceedings of 1st European Scientific Apicultural Conference, pp. 55–62. Psczelnicze zestyty naukowe, Poland (2000)
Zbigniew, M., Fogel, D.B.: How to Solve It: Modern Heuristics, 2nd edn. Revised and Extended, p. 554. Springer, Heidelberg (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Karpics, I., Markovics, Z., Markovica, I. (2013). Topological Modelling as a Tool for Analysis of Functioning Systems. In: Pap, E. (eds) Intelligent Systems: Models and Applications. Topics in Intelligent Engineering and Informatics, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33959-2_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-33959-2_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33958-5
Online ISBN: 978-3-642-33959-2
eBook Packages: EngineeringEngineering (R0)