Abstract
This paper considers information flow redundancy reducement problem for decision-making followed by cartographic images dialogue process analysis. The specifics of the considered problem is displaying fuzzy cartographic objects. This includes those that have not got a preliminary cartographic processing and leads to image defects. The loss of images semantic content, however, compensated by an information about the outside world, which is carried by fuzzy objects. The paper proposes a method of managing flow based information by maximizing a workspace utility function for analysis. The authors introduced a representation of the working area by two subsets of cartographic objects: the skeleton and the environment. Representation variations with fuzzy objects that improve the quality of solving such problems as generation of decision alternatives, risk assessment of decision making and assessment of the external data sources quality are proposed. The considered case generalization can be reused by any system that provides a visual image for search and decision making to user.
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Acknowledgment
This work has been supported by the Ministry of Education and Science of the Russian Federation under Project “Methods and means of decision making on base of dynamic geographic information models” (Project part, State task 2.918.2017).
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Belyakov, S., Savelyeva, M., Bozhenyuk, A., Glushkov, A. (2019). Information Flow Control in Interactive Analysis of Map Images with Fuzzy Elements. In: Silhavy, R. (eds) Artificial Intelligence Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 985. Springer, Cham. https://doi.org/10.1007/978-3-030-19810-7_12
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DOI: https://doi.org/10.1007/978-3-030-19810-7_12
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