Abstract
The objective of this paper is to design and develop the efficient decision support system for forest managers that would help them in their decision-making tasks during the forest fire. To do this, we have adopted the advanced simulation techniques as well as the genetic algorithm for generating the forest fire fighting strategy. The GIS database with 3-D graphics has been also employed for supporting the decision-making. In order to coherently represent the geographical, meteorological, and forest information as well as to generate the fire model and simulation trajectory of the fire spread, the cellular modeling approach has been proposed. Various resources and their organizations model for the fire fighting can be efficiently represented by using the rule-based system entity structure and each resource organizations can be directly evaluated by employing the simulation-based genetic algorithm. Several simulation tests performed on a sample forest area will demonstrate our techniques.
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Chi, SD., Lim, YH., Lee, JK., Lee, JS., Hwang, SC., Song, BH. (2003). A Simulation-Based Decision Support System for Forest Fire Fighting. In: Cappelli, A., Turini, F. (eds) AI*IA 2003: Advances in Artificial Intelligence. AI*IA 2003. Lecture Notes in Computer Science(), vol 2829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39853-0_40
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DOI: https://doi.org/10.1007/978-3-540-39853-0_40
Publisher Name: Springer, Berlin, Heidelberg
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