Abstract
The mathematical model for predicting the forest dynamics from [16] is extended with intuitionistic fuzzy estimations for the rules for Game Method for Modelling.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Atanassov, K.: Game Method for Modelling. “Prof. M. Drinov” Academic Publishing House, Sofia (2011)
Atanassov, K.: Intuitionistic Fuzzy Sets. Springer, Heidelberg (1999)
Atanassov, K.: On Intuitionistic Fuzzy Sets Theory. Springer, Heidelberg (2012)
Atanassov, K., Szmidt, E., Kacprzyk, J.: On intuitionistic fuzzy pairs. Notes Intuitionistic Fuzzy Sets 19(3), 1–13 (2013)
Atanassova, L., Atanassov, K.: Intuitionistic fuzzy interpretations of Conway’s game of life. Lecture Notes in Computer Science, vol. 6046, pp. 232–239. Springer, Berlin (2011)
Atanassova, L., Atanassov, K.: On a game-method for modeling with intuitionistic fuzzy estimations. Part 2. In: Sabelfeld, K., Dimov, I. (eds.) Monte Carlo Methods and Applications, pp. 29–38. Walter de Gruyter GmbH, Berlin, Boston (2013)
Atanassova, L., Atanassov, K.: On a game-method for modelling with intuitionistic fuzzy estimations: part 1. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7116, pp. 182–189 (2012)
Bhatti, J.S., Errington, R.C., Bauer, I.E., Hurdle, P.A.: Carbon stock trends along forested peatland margins in central Saskatchewan. Can. J. Soil Sci. 86(2), 321–333 (2006). (Special Issue)
Dimitrov, D.: Modelling the growth and dynamics of forest stands by game-method. Adv. Model. Anal. 2(1–2), 11–22 (1998)
Dimitrov, D.: Modelling the growth and dynamics of forest stands by extended game-method. Adv. Model. Anal. 4(1–2), 7–21 (1999)
Eigen, M., Winkler, R.: Ludus Vitalis. Erwin Poell, Heidelberg (1973)
Gardner, M.: Mathematical games – the fantastic combinations of John Conway’s new solitaire game “life”. Sci. Am. 223, 120–123 (1970)
Kimmins, J.P.: Forest Ecology: A Foundation for Sustainable Forest Management and Environmental Ethics in Forestry, 3rd edn. Pearson Prentice Hall, Upper Saddle River (2004)
Kuratovski, K.: Topology. Academic Press, New York (1966)
Larcher, W.: Physiological Plant Ecology, 4th edn. Springer, Berlin (2001)
Sotirova, E., Dimitrov, D., Atanassov, K.: On some applications of game method for modeling. Part 1: Forest dynamics. In: Proceedings of the Jangjeon Mathematical Society, vol. 15, no. 2, pp. 115–123 (2012)
Zadeh, L.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Acknowledgments
The authors are grateful for the support provided by the project DFNI-I-01/0006 “Simulating the behaviour of forest and field fires”, funded by the National Science Fund, Bulgarian Ministry of Education, Youth and Science.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
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. Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications. IWIFSGN 2016. Advances in Intelligent Systems and Computing, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-319-65545-1_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-65545-1_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65544-4
Online ISBN: 978-3-319-65545-1
eBook Packages: EngineeringEngineering (R0)