Open Access
Issue
E3S Web Conf.
Volume 411, 2023
VI International Conference on Actual Problems of the Energy Complex and Environmental Protection (APEC-VI-2023)
Article Number 01017
Number of page(s) 7
Section Issues of the Energy Complex
DOI https://doi.org/10.1051/e3sconf/202341101017
Published online 10 August 2023
  1. V.M. Anshin, I.V. Demkin, I.M. Nikonov, I.N. Tsarkov, Application of the theory of fuzzy sets to the problem of forming a portfolio of projects, Problems of risk analysis, 5, 3, 8-21 (2008) [Google Scholar]
  2. A.M. Bakhmetiev, O.B. Samoilov, G.B. Usynin, Methods for assessing and ensuring the safety of nuclear power plants (Energoatomizdat, Moscow 1988) [Google Scholar]
  3. I.Y. Bayramov, A.N. Qurbanov, İ.Z. Sardarova, O.M. Mirzayev, Numerical determination of gas and oil reserves. 11th International Conference on Theory and Application of Soft Computing, Computing with Words, Perception and Artificial Intelligence. ICSCCW - 2021, Antalya, Turkey (2021) [Google Scholar]
  4. I.Y. Bayramov, A.N. Gurbanov, I.Z. Sardarova, G.G. Mammadova, S. V. Abbasova, Creation offuzzy models for the calculation of oil and gas reserves, 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools ICAFS 2022, Montenegro, Budva (2022) [Google Scholar]
  5. S.I. Yusifov, I.Y. Bayramov, A.G. Mammadov, R.S. Safarov, R.Q. Abaszada, E.A. Xanmamadova, Fuzzy Processing of Hydrodynamic Studies of Gas Wells under Uncertainty, 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools ICAFS Montenegro, Budva (2022) [Google Scholar]
  6. B.Y. Vendelstein, R.A. Rezvanov, Geophysical methods for determining the parameters of oil and gas reservoirs (Nedra, Moscow, 1978) [Google Scholar]
  7. A.N. Dorogobed, Geomodeling under Uncertainty for the Problems of the Oil and Gas Industry. Diss., 152 (2015) [Google Scholar]
  8. A.I. Kobrunov, A.V. Qriqoryevix, Methods of fuzzy modeling when studying relationships between geophysical parameters, Geophysics, 2, 17-23 (2010) [Google Scholar]
  9. A.I. Kobrunov, S.G. Kudelin, S.V. Mukhametdinov, A.N. Khudozhilova, The method of studying the spatial distribution of filtration resistance in the exploitation of oil deposits, Oil industry, 8, 58-60 (2013) [Google Scholar]
  10. A.I. Kobrunov, V.E. Kuleshov, A.C. Mogutov, Adaptation of the method of imprecise petrophysical compositions for the determination of estimated parameters of a low- lying site, Electronic scientific journal “Neftegazovoe delo”, 6, 307-315 (2011) [Google Scholar]
  11. A.I. Kobrunov, V.E. Kuleshov, A.S. Mogutov, A.N. Khudozhilova, The method of fuzzy prophysical compositions in predicting petrofisicheskih parameters, Vestnik institute Geological KomiNTs URO ROAN, 9, 18-24 (2011) [Google Scholar]
  12. A.A. Safarova, Development of the mathematical mode of oil hydro-treatment device, Ecoenergetics-journal, 3, 9-12 (2021) [Google Scholar]
  13. A.E. Kolodenkova, Assessment of the viability of software projects in conditions of fuzzy initial data, Software engineering, 5, 10-16 (2011) [Google Scholar]
  14. A.E. Kolodenkova, V.V. Korobkin, A.P. Kukharenko, Modeling the processes of creating and evaluating the feasibility of information and control systems of mechatronic complexes, Proceedings of the Southern Federal University, Technical science, 10, 171, 117-128 (2015) [Google Scholar]
  15. V.I. Levin, Comparison of interval values and optimization of uncertain systems, Information technologies, 7, 22-32 (1998) [Google Scholar]
  16. A.I. Kobrunov, A.V. Grigoryevyh, A.N. Khudozhilova, New technologies of fasification in the method of fuzzy compositions, Materials of the 3rd international scientific and practical conference “Oil and gas geophysics — non-traditional resources”, 20-24 May 2013, Ivano-Frankivsk, 207, 25-30 (2013) [Google Scholar]
  17. L.A. Zadeh, Fuzzy sets as a basis for a theory of possibility, Fuzzy sets and systems, 1, 3-28 (1978) [CrossRef] [Google Scholar]
  18. L.A. Zadeh, A theory of approximate reasoning(AR), Machine Intelligence, 9, 149-194 (1979) [Google Scholar]
  19. L.A. Zadeh, Fuzzy Logic, Neural Network and Soft Computing, Communication of the ACM, 37, 3, 77-84 (1994) [Google Scholar]
  20. L.A. Zadeh, Fuzzy Logic = Computing With Word, IEEETransactions of Fuzzy Systems, 4, 103-111 (1996) [CrossRef] [Google Scholar]
  21. L.A. Zadeh, Toward a perception-based theory of probabilistic reasoning with imprecise probabilities, Journal of Statistical Planning and Inference, 105, 233-264 (2002) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.