Finding the probability distribution of states in the fuzzy markov systems
DOI:
https://doi.org/10.15587/1729-4061.2017.97144Keywords:
Markov and semi-Markov systems, complex criterion, deviation of solution from the modal one, compactness measure of solutionAbstract
A problem on finding the stationary distributions of probabilities of states for the Markov systems under conditions of uncertainty is solved. It is assumed that parameters of the analyzed Markov and semi-Markov systems (matrix of transition intensities, analytical description of distribution functions of the durations of being in states of the system before exiting, as well as a matrix of transition probabilities) are not clearly assigned. In order to describe the fuzziness, we employ the Gaussian membership functions, as well as functions of the type. The appropriate procedure of systems analysis is based on the developed technology for solving the systems of linear algebraic equations with fuzzy coefficients. In the problem on analysis of a semi-Markov system, the estimation of components of the stationary distribution of probabilities of states of the system is obtained by the minimization of a complex criterion. The criterion considers the measure of deviation of the desired distribution from the modal one, as well as the level of compactness of membership functions of the fuzzy result of solution. In this case, we apply the rule introduced for the calculation of expected value of fuzzy numbers. The criterion proposed is modified through the introduction of weight coefficients, which consider possible differences in the levels of requirements to different components of the criterion.
References
- Bertalanfy, L. (1969). Obshchaia teoryia system. Moscow: Prohress, 82.
- Mesarovych, M., Takakhara, Ya. (1978). Obshchaia teoryia system: matematycheskye osnovy. Moscow: MYR, 283.
- Volkova, V. N. (2006). Teoryia system. Moscow: Vysshaia shkola, 511.
- Raskin, L. G. (1976). Analyz slozhnykh system i elementy teoryy upravlenyia. Moscow: Sov. radyo, 344.
- Raskin, L. G. (1988). Matematycheskye metody yssledovanyia operatsyi y analyza slozhnykh system vooruzhenyia PVO. Kharkiv: VYRTA, 177.
- Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8 (3), 338–353. doi: 10.1016/s0019-9958(65)90241-x
- Kofman, A. (1982). Vvedenye v teoryiu nechetkykh mnozhestv. Moscow: Radyo y sviaz, 486.
- Nehoitse, K. (1981). Prymenenye teoryy system k problemam upravlenyia. Moscow: MYR, 219.
- Orlovskyi, S. A. (1981). Problemy pryniatyia reshenyi pry nechetkoi ynformatsyy. Moscow: Nauka, 264.
- Zaichenko, Yu. P. (1991). Yssledovanye operatsyi. Nechetkaia optymyzatsyia. Kyiv: Vyshcha shkola, 191.
- Kaufman, A., Gupta, M. (1985). Introduction to Fuzzy Arithmetic: Theory and Applications. New York, 351.
- Raskin, L. G., Sira, O. V. (2008). Nechetkaia matematyka. Kharkiv: Parus, 352.
- Tykhonov, V. Y., Myronov, M. A. (1977). Markovskye protsessy. Moscow: Sov. Radyo, 483.
- Koroliuk, V. S., Turbyn, A. F. (1976). Polumarkovskye protsessy i ih prylozhenyia. Kyiv: Naukova dumka, 182.
- Koks, D. R., Smyt, V. D. (1967). Teoryia vosstanovlenyia. Moscow: Sov. radyo, 299.
- Fakoor, M., Kosari, A., Jafarzadeh, M. (2016). Humanoid robot path planning with fuzzy Markov decision processes. Journal of Applied Research and Technology, 14 (5), 300–310. doi: 10.1016/j.jart.2016.06.006
- Cheng, J., Park, J. H., Liu, Y., Liu, Z., Tang, L. (2017). Finite-time H∞ fuzzy control of nonlinear Markovian jump delayed systems with partly uncertain transition descriptions. Fuzzy Sets and Systems, 314, 99–115. doi: 10.1016/j.fss.2016.06.007
- Sira, O. V., Al-Shqeerat, K. H. (2009). A New Approach for Resolving Equations with Fuzzy Parameters. European Journal of Scientific Research, 38 (4), 619–625.
- Raskin, L., Sira, O. (2016). Method of solving fuzzy problems of mathematical programming. Eastern-European Journal of Enterprise Technologies, 5 (4 (83)), 23–28. doi: 10.15587/1729-4061.2016.81292
- Raskin, L. G., Kyrychenko, Y. O., Sira, O. V. (2013). Prykladnoe kontynualnoe lyneinoe prohrammyrovanye. Kharkiv, 293.
- Kostenko, Yu. T., Raskin, L. G. (1996). Prohnozyrovanye tekhnycheskoho sostoianyia system upravlenyia. Kharkiv: Osnova, 303.
- Pawlak, Z. (1982). Rough sets. International Journal of Computer & Information Sciences, 11 (5), 341–356. doi: 10.1007/bf01001956
- Raskin, L., Sira, O. (2016). Fuzzy models of rough mathematics. Eastern-European Journal of Enterprise Technologies, 6 (4 (84)), 53–60. doi: 10.15587/1729-4061.2016.86739
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Lev Raskin, Oksana Sira, Tetiana Katkova
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.