Approximate model of spatially distributed Markov process for GIS-based decision support system
Volodymyr Sherstjuk, Maryna Zharikova · 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) · 2017
This work presents an approximate model of spatially distributed Markov processes for the GIS-based real-time disaster Decision Support System. The proposed model uses possibility measures based on rough or fuzzy sets approach. The transition distribution of vague Markov jump-type process can be determined using the possibility values. The dynamics of the processes is represented as the motion of the boundary region of a topological space, where regions and areas can be blurred using fuzzy or rough sets of cells. The implementation of the model reduces the computational complexity and provides the acceptable performance of the decision support system.