View source for Issue:Game method for modelling with temporal intuitionistic fuzzy evaluations for locating the wildfire ignition point

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[[Category:Publications in Notes on IFS|{{PAGENAME}}]]
[[Category:Publications in 2020 year|{{PAGENAME}}]]
{{issue/title
 | title           = Game method for modelling with temporal intuitionistic fuzzy evaluations for locating the wildfire ignition point
 | shortcut        = nifs/26/4/90-106
}}
{{issue/author
 | author          = Veselina Bureva
 | institution     = Intelligent Systems Laboratory, Department of Computer Systems and Technologies, Faculty of Technical Sciences, "Prof. Dr. Asen Zlatarov" University
 | address         = 1 “Prof. Yakimov” Blvd., 8010 Burgas, Bulgaria
 | email-before-at = vbureva
 | email-after-at  = btu.bg
}}
{{issue/author
 | author          = Lilija Atanassova
 | institution     = Institute of Information and Communication Technologies, Bulgarian Academy of Sciences
 | address         = Acad. G. Bonchev St., Block 2, 1113 Sofia, Bulgaria
 | email-before-at = l.c.atanassova
 | email-after-at  = gmail.com
}}
{{issue/author
 | author          = Krassimir Atanassov
 | institution     = Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences
 | address         = Acad. G. Bonchev Str., Bl. 105, Sofia-1113, Bulgaria,
 | email-before-at = krat
 | email-after-at  = bas.bg
}}
{{issue/data
 | issue           = [[Notes on Intuitionistic Fuzzy Sets/26/4|Notes on Intuitionistic Fuzzy Sets, Volume 26 (2020), Number 4]], pages 90–106
 | doi             = https://doi.org/10.7546/nifs.2020.26.4.90-106
 | file            = NIFS-26-4-90-106.pdf
 | format          = PDF
 | size            = 1445
 | abstract        = The concept of a temporal intuitionistic fuzzy pair is introduced. It is used for an evaluation of the results of a Game Method for Modelling applied over some areas of fire in a two-dimensional orthogonal grid of cells.
 | keywords        = Game method for modelling, Forest fire, Intuitionistic fuzzy set, Temporal intuitionistic fuzzy pair.
 | ams             = 03E72.
 | references      = 

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#  Atanassov, K. [[On Intuitionistic Fuzzy Sets Theory]], Springer, Berlin, 2012. 
#  Atanassov, K. Temporal intuitionistic fuzzy pairs. Proceedings of the Jangjeon Mathematical Society (in press). 
#  Atanassov, K., & Sotirova, E. (2013). On some applications of game method for modeling, Part 4: Interpretations of some stochastic processes. Proceedings of the Jangjeon Mathematical Society, 16 (3), 301–310. 
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#  Bureva, V., L. Atanassova, K. Atanassov, A. Delkov. Application of the game method for modelling for locating the wildfire ignition point. In:- Proceedings of 4th Int. Conf. on Numerical and Symbolic Computation, Porto, April, 11–12, 2019, 397–413. 
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#  Sotirova, E., Dimitrov, D. & Atanassov, K. (2012). On some applications of game method for modelling Part 1: Forest dynamics. Proceedings of the Jangjeon Mathematical Society, 15(2), 115–123. 
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#  Sotirova, E., Sotirov, S., Atanassova, L., Atanassov, K. T., Bureva, V., & Doukovska, L. (2018). Game Method for Modelling with Intuitionistic Fuzzy Rules. In: Atanassov K. et al. (eds) Uncertainty and Imprecision in Decision Making and Decision Support: Cross Fertilization, New Models and Applications. Series Advances in Intelligent Systems and Computing, Springer, Vol 559, 153–168. 
#  Sotirova, E., Sotirov, S., Dimitrov, A., & Atanassov, K. (2013). On some applications of the game method for modelling: Part 3: Simulation of oil transformation in marine environment. Proceedings of the Jangjeon Mathematical Society, 16(2), 293–300. 
#  Sotirova, E., Velizarova, E., Fidanova, S., & Atanassov, K. (2014). Modeling forest fire spread through a game method for modeling based on hexagonal cells. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 8353, 321–328. 
#  Velizarova, E., Sotirova, E., Atanassov, K., Vassilev, P., & Fidanova, S. (2012). On the game method for the forest fire spread modelling with considering the wind effect. Proc. of 6th IEEE International Conference Intelligent Systems, art. no. 6335219, 216–220.  

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