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A Fuzzy-Based Decision System for Sightseeing Spots Considering Noise Level as a New Parameter

  • Yi LiuEmail author
  • Leonard Barolli
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1035)

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: Ambient Temperature (AT), Air Quality (AQ), Noise Levle (NL) and Current Number of People (CNP) 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 is increased, the VNV is increased and when the AT is around \(18\,^\circ \mathrm{C}{-}26\,^\circ \mathrm{C} \), the VNN is the best. But when AQ and NL are increased, the VNV 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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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Languages and Informatics SystemsFukuoka Institute of Technology (FIT)FukuokaJapan

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