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A Path Search System Considering the Danger Degree Based on Fuzzy Logic

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Advances in Network-Based Information Systems (NBiS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 22))

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Abstract

There are many disasters happening in the world and in general it is difficult to predict them. For this reason, there are many disaster prevention centers where the people learn about information, techniques and the ability to take action in relation to disasters and simulates various disasters in the case of emergencies. It is better that people avoid danger as much as possible in everyday life. The conventional path search systems, such as car navigation systems, mainly consider the length of the path. Thus, the system may recommend a dangerous route such as a place easy to a landslide. In this work, we propose a path search system considering the danger degree by using Fuzzy logic. In our proposed system, we use the data of the hazard map as input parameters to decide the danger degree.

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Notes

  1. 1.

    Some data are in a different format such as text format.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Science, Seikei University, 3-3-1 Kichijoji-Kitamachi, Musashino-shi, Tokyo, 180-8633, Japan

    Shinji Sakamoto & Shusuke Okamoto

  2. Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Leonard Barolli

Authors
  1. Shinji Sakamoto
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  2. Shusuke Okamoto
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  3. Leonard Barolli
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Corresponding author

Correspondence to Shinji Sakamoto .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

    Natalia Kryvinska

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Sakamoto, S., Okamoto, S., Barolli, L. (2019). A Path Search System Considering the Danger Degree Based on Fuzzy Logic. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_69

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