Skip to main content
SpringerLink
Log in
Book cover

International Conference on Intelligent Networking and Collaborative Systems

INCoS 2019: Advances in Intelligent Networking and Collaborative Systems pp 36–45Cite as

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

  • Conference paper
  • First Online:

  • 843 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Luo, J., Joshi, D., Yu, J., Gallagher, A.C.: Geotagging in multimedia and computer vision a survey. Multimedia Tools Appl. 51(1), 187–211 (2011)

    Article  Google Scholar 

  2. Chenyi, Z., Qiang, M., Xuefeng, L., Masatoshi, Y.: An obscure sightseeing spots discovering system. In: 2014 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6. IEEE (2014)

    Google Scholar 

  3. Cheng, Z., Ren, J., Shen, J., Miao, H.: Building a large scale test collection for effective benchmarking of mobile landmark search. In: Advances in Multimedia Modeling, pp. 36–46. Springer, Heidelberg (2013)

    Google Scholar 

  4. Chen, W., Battestini, A., Gelfand, N., Setlur, V.: Visual summaries of popular landmarks from community photo collections. In: 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, pp. 1248–1255. IEEE (2009)

    Google Scholar 

  5. Cao, X., Cong, G., Jensen, C.S.: Mining significant semantic locations from GPS data. Proc. VLDB Endow. 3(1–2), 1009–1020 (2010)

    Article  Google Scholar 

  6. Inaba, T., Obukata, R., Sakamoto, S., Oda, T., Ikeda, M., Barolli, L.: Performance evaluation of a QoS-aware fuzzy-based CAC for LAN access. Int. J. Space-Based Situated Comput. 6(4), 228–238 (2016). https://doi.org/10.1504/IJSSC.2016.082768

    Article  Google Scholar 

  7. Terano, T., Asai, K., Sugeno, M.: Fuzzy Systems Theory and Its Applications. Academic Press, Inc. Harcourt Brace Jovanovich, Publishers (1992)

    Google Scholar 

  8. Spaho, E., Kulla, E., Xhafa, F., Barolli, L.: P2P solutions to efficient mobile peer collaboration in MANETs. In: Proceedings of 3PGCIC 2012, pp. 379–383, November 2012

    Google Scholar 

  9. Kandel, A.: Fuzzy Expert Systems. CRC Press, Boca Raton (1992)

    Google Scholar 

  10. Zimmermann, H.J.: Fuzzy Set Theory and Its Applications. Second Revised Edition. Kluwer Academic Publishers, Boston (1991)

    Google Scholar 

  11. McNeill, F.M., Thro, E.: Fuzzy Logic. A Practical Approach. Academic Press Inc., Cambridge (1994)

    MATH  Google Scholar 

  12. Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty. Wiley, Hoboken (1992)

    Google Scholar 

  13. Procyk, T.J., Mamdani, E.H.: A linguistic self-organizing process controller. Automatica 15(1), 15–30 (1979)

    Article  Google Scholar 

  14. Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainty, and Information. Prentice Hall, Englewood Cliffs (1988)

    MATH  Google Scholar 

  15. Munakata, T., Jani, Y.: Fuzzy systems: an overview. Commun. ACM 37(3), 69–76 (1994)

    Google Scholar 

  16. Yi, L., Kouseke, O., Keita, M., Makoto, I., Leonard, B.: A fuzzy-based approach for improving peer coordination quality in MobilePeerDroid mobile system. In: Proceedings of IMIS 2018, pp. 60–73, July 2018

    Google Scholar 

Download references

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Leonard Barolli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yi Liu .

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. Division of Computer Science and Intelligent Systems, Faculty of Science and Technology, Oita University, Oita, Japan

    Hiroaki Nishino

  3. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, Y., Barolli, L. (2020). A Fuzzy-Based Decision System for Sightseeing Spots Considering Noise Level as a New Parameter. In: Barolli, L., Nishino, H., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2019. Advances in Intelligent Systems and Computing, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-29035-1_4

Download citation

Publish with us

Policies and ethics

Search

Navigation