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Fuzzy Modeling in the Task of Control Cartographic Visualization

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Book cover Artificial Intelligence and Soft Computing (ICAISC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11508))

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Abstract

Visual analysis of maps, charts and plans plays an important role in decision-making on the basis of spatial data. One of the difficulties in applying visual analysis is the redundancy of the cartographic data flow that occurs when the user interacts with the geographic information system (GIS). The redundancy reduces the dynamics of dialog worsens the perception of visualized data and negatively affects the quality of decision making. This paper considers the problem of cartographic visualization control, the purpose of which is to construct the most useful images for decision making. The fuzzy representation of visual analysis experience by images is analyzed. The image includes the center and the region of its permissible transformations. The comparison of images is modeled as the classification of situations of the relative locations of the centers, the region of permissible transformations of each image and the region of their intersection. The concept of fuzzy utility function of the cartographic image is introduced. The problem of choosing useful fuzzy images of cartographic images is considered. The logic of decision making is described in the fact of comparison of fuzzy images. The method for specifying the space topology of the utility estimation is proposed. This method allows carrying out the transfer of experience in estimating the utility of images. The invariant of transfer of experience is investigated. Principles of transformation of images of precedents are formulated.

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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Authors and Affiliations

  1. Southern Federal University, Nekrasovskiy Str., 44, 347928, Taganrog, Russia

    Stanislav Belyakov, Alexander Bozhenyuk & Margarita Knyazeva

  2. Systems Research Institute Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

Authors
  1. Stanislav Belyakov
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  2. Alexander Bozhenyuk
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  3. Janusz Kacprzyk
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  4. Margarita Knyazeva
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Corresponding author

Correspondence to Alexander Bozhenyuk .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Belyakov, S., Bozhenyuk, A., Kacprzyk, J., Knyazeva, M. (2019). Fuzzy Modeling in the Task of Control Cartographic Visualization. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11508. Springer, Cham. https://doi.org/10.1007/978-3-030-20912-4_25

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  • DOI: https://doi.org/10.1007/978-3-030-20912-4_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20911-7

  • Online ISBN: 978-3-030-20912-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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