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A Fuzzy-Based System for Decision of Sightseeing Spots Considering Different Conditions

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 994))

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Abstract

Discovering and recommending points of interest are drawing more attention to meet the increasing demand from personalized tours. In this paper, we propose and evaluate a new fuzzy-based system for decision of sightseeing spots considering different conditions. In our system, we considered four input parameters: Current Number of People (CNP), Air Quality (AQ), Ambient Humidity (AH) and Noise Levle (NL) to decide the sightseeing spots Visit or Not Visit (VNV). We evaluate the proposed system by computer simulations. From the simulations results, we conclude that when CNP and AQ are increased, the VNV is increased and when the AH is about 50%, the VNN is the best. But when NL is increased, the PR is decreased. The simulation results have shown that the proposed system has a good performance and can choose good sightseeing spots.

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Authors and Affiliations

  1. Department of Languages and Informatics Systems, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Yi Liu & Leonard Barolli

Authors
  1. Yi Liu
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  2. Leonard Barolli
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Corresponding author

Correspondence to Yi Liu .

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Editors and Affiliations

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

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. School of Business, University of New South Wales, Canberra, ACT, Australia

    Omar K. Hussain

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Liu, Y., Barolli, L. (2020). A Fuzzy-Based System for Decision of Sightseeing Spots Considering Different Conditions. In: Barolli, L., Xhafa, F., Hussain, O. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2019. Advances in Intelligent Systems and Computing, vol 994. Springer, Cham. https://doi.org/10.1007/978-3-030-22263-5_27

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