FUZZY RECURRENT MAPPINGS IN MULTIAGENT SIMULATION OF POPULATION DYNAMICS SYSTEMS

Authors

  • Dmytro Chumachenko
  • Oleksandr Sokolov
  • Sergiy Yakovlev

Keywords:

population dynamics system, multi-agent model, agent-based model, linguistic fuzzy model, recurrent model, fuzzy sets, production system.

Abstract

The article deals with the problems of analyzing multi-agent models of population dynamics. The problems studied are caused by a number of uncertainties associated with variables, boundary conditions, initial states, parameter values, etc. Given problems could be found in tasks associated with cyber security of critical infrastructures (e.g. DDoS attacks, computer worms, etc.). To solve this problem, a linguistic fuzzy model has been developed, which allows describing systems of population dynamics in a more realistic way. Population dynamics is described by a set of rules, each of which involves entry and exit in the form of fuzzy sets or fuzzy functions, which are applied iteratively. The complexity of describing the processes of population dynamics systems, the presence of fuzzification and defuzzification algorithms, and the use of fuzzy sets and linguistic variables make it necessary to develop new methods for analyzing such systems. The approaches proposed in the article to the study of systems of population dynamics make it possible to apply a unified description of processes of different nature in the form of a production set of rules.

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Published

2020-06-14

How to Cite

Chumachenko, D., Sokolov, O., & Yakovlev, S. (2020). FUZZY RECURRENT MAPPINGS IN MULTIAGENT SIMULATION OF POPULATION DYNAMICS SYSTEMS. International Journal of Computing, 19(2), 290-297. Retrieved from http://computingonline.net/computing/article/view/1773

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