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A Fuzzy-Based Decision System for Sightseeing Spots Considering Natural Scenery and Visiting Cost as New Parameters

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Advances in Internet, Data and Web Technologies (EIDWT 2020)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 47))

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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 four input parameters: Access Convenience (AC), Lodging Arrangements (LA), Natural Scenery (NS) and Visiting Cost (VC) 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 AC, LA and NS are increased, the VNV is increased. But, when VC is increased, the VNV is decreased.

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Author information

Authors and Affiliations

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

    Yi Liu & Leonard Barolli

  2. Graduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Phudit Ampririt, Ermioni Qafzezi & Kevin Bylykbashi

  3. Department of Advanced Sciences, Faculty of Science and Engineering, Housei University, Kajino-Machi, Koganesi-Shi, Tokyo, 184-8584, Japan

    Makoto Takizawa

Authors
  1. Yi Liu
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  2. Phudit Ampririt
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  3. Ermioni Qafzezi
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  4. Kevin Bylykbashi
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  5. Leonard Barolli
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  6. Makoto Takizawa
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Corresponding author

Correspondence to Yi Liu .

Editor information

Editors and Affiliations

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

    Leonard Barolli

  2. Innovation Center for Educational Resources, University Library, Kyushu University, Fukuoka, Japan

    Yoshihiro Okada

  3. Department of Electrical Engineering and Information Technology, University of Naples "Frederico II", Naples, Italy

    Flora Amato

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Liu, Y., Ampririt, P., Qafzezi, E., Bylykbashi, K., Barolli, L., Takizawa, M. (2020). A Fuzzy-Based Decision System for Sightseeing Spots Considering Natural Scenery and Visiting Cost as New Parameters. In: Barolli, L., Okada, Y., Amato, F. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-39746-3_10

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