Skip to main content
SpringerLink
Log in

UI proposal using modified diamond pairwise comparison diagram for fuzzy integral-based GIS–MCDM

  • Published:
Spatial Information Research Aims and scope Submit manuscript

Abstract

GIS-based data fusion is now considered as a common methodology for selecting appropriate sites to locate government or company sites. Due to the success of GIS-based approaches, its UI system becomes very important in service promotion aspects. In particular, UI system presented to general public has to be intuitive and effective to cope with multi-criteria decision making problems (MCDM) which become majority in GIS-based selection problems. In this paper, based on the fuzzy measure and fuzzy integral method for dealing with GIS–MCDM problems, an intuitive UI system for GIS–MCDM is proposed by modifying conventional UI using diamond pairwise comparison diagram focusing on using the easy-to-understand terms and coinciding appropriate meaningful directions with human`s intuitive understanding. In addition, strategy for applying the fuzzy measure and fuzzy integral method along with the proposed UI system upon the public service is also described considering the distributional aspects of computational burden to process data fusion calculation efficiently.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. V-world. Retrieved. http://www.vworld.kr. Accessed March 14, 2016.

  2. Statistical geographic information service plus (SGIS+plus) of statistics Korea. http://sgis.kostat.go.kr/view/board/sopIntro. Accessed March 14, 2016.

  3. Rikalovic, A., Cosic, I., & Lazarevic, D. (2014). GIS based multi-criteria analysis for industrial site selection. Procedia Engineering, 69, 1054–1063.

    Article  Google Scholar 

  4. Ardeshir, A., Mohseni, N., Behzadian, K., & Errington, M. (2014). Selection of a bridge construction site using fuzzy analytical hierarchy process in geographic information system. Arabian Journal for Science and Engineering, 39(6), 4405–4420.

    Article  Google Scholar 

  5. Meng, Y., & Malczewski, J. (2015). A GIS-based multicriteria decision making approach for evaluating accessibility to public parks in Calgary, Alberta. Human Geographies, 9(1), 29.

    Google Scholar 

  6. Khavarian-Garmsir, A. R., & Rezaei, M. R. (2015). Selection of appropriate locations for industrial areas using GIS-fuzzy methods. A case study of Yazd Township, Iran. Journal of Settlements and Spatial Planning, 6(1), 19.

    Google Scholar 

  7. Bahrani, S., Ebadi, T., Ehsani, H., Yousefi, H., & Maknoon, R. (2016). Modeling landfill site selection by multi-criteria decision making and fuzzy functions in GIS, case study: Shabestar, Iran. Environmental Earth Sciences, 75(4), 1–14.

    Article  Google Scholar 

  8. Park, M. J., & Choi, S. W. (2008). Development of an inundation risk evaluation method based on a multi criteria decision making. Journal of Korea Water Resources Association, 41(4), 365–377.

    Article  Google Scholar 

  9. Lee, G. H., Shin, J. Y., & Shin, S. H. (2010). The research on the location suitability analysis of the city museum using the GIS-based multicriteria decision analysis: A case study of Incheon. Journal of the Korean Urban Geographical Society, 13(3), 80–105.

    Google Scholar 

  10. Jung, H. J., & Lee, J. Y. (2015). Analysis of eunpyeong new town land price using geographically weighted regression. Journal of Korea Spatial Information Society, 23(5), 54–73.

    Article  Google Scholar 

  11. Kim, T. H., Han, K. Y., & Kwak, Y. M. (2012). Detailed flood vulnerability analysis using multi criteria decision making. Procedia Korean Society of Civil Engineers, 2012(10), 1886–1889.

    Google Scholar 

  12. Han, B. G., & Chung, E. S. (2013). Application of fuzzy multi-criteria decision making techniques for robust prioritization. Journal of The Korean Society of Civil Engineers, 33(3), 917–926.

    Article  Google Scholar 

  13. Lee, J. H., Lee, J., & Kwon, Y. J. (2015). A proposal of a mobile augmented reality service model based on street data, and its implementation. Journal of Korea Spatial Information Society, 23(5), 9–19.

    Article  Google Scholar 

  14. Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications—Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126–4148.

    Article  Google Scholar 

  15. Dursun, M., Karsak, E. E., & Karadayi, M. A. (2011). Assessment of health-care waste treatment alternatives using fuzzy multi-criteria decision making approaches. Resources, Conservation and Recycling, 57, 98–107.

    Article  Google Scholar 

  16. Kuo, Y. C., Lu, S. T., Tzeng, G. H., Lin, Y. C., & Huang, Y. S. (2013). Using fuzzy integral approach to enhance site selection assessment—A case study of the optoelectronics industry. Procedia Computer Science, 17, 306–313.

    Article  Google Scholar 

  17. Bottero, M., Ferretti, V., & Mondini, G. (2013). A Choquet integral-based approach for assessing the sustainability of a new waste incinerator. International Journal of Multicriteria Decision Making 73–74, 3(2–3), 157–177.

    Article  Google Scholar 

  18. Grabisch, M., & Labreuche, C. (2005). Fuzzy measures and integrals in MCDA. In J. R. Figueira, S. Greco, & M. Ehrgott (Eds.), Multiple criteria decision analysis: State of the art surveys (pp. 563–608). New York: Springer.

    Chapter  Google Scholar 

  19. Takahagi, E. (2008). A fuzzy measure identification method by diamond pairwise comparisons and ϕ s transformation. Fuzzy Optimization and Decision Making, 7(3), 219–232.

    Article  Google Scholar 

  20. Yoo, J. K., & Kim, J. H. (2012). Fuzzy integral-based gaze control architecture incorporated with modified-univector field-based navigation for humanoid robots. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 42(1), 125–139.

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by a Grant (13 Urban Planning & Architecture 02) from Spatial Information Open Platform Infra Technology Development Research Project funded by Ministry of Land, Infrastructure and Transport government.

Author information

Authors and Affiliations

  1. Department of Electronics, Informatics and Communications, Daejeon University, Daejeon, Republic of Korea

    Jeong-Ki Yoo

  2. Department of Computer Engineering, Daejeon University, Daejeon, Republic of Korea

    Min Soo Kim

Authors
  1. Jeong-Ki Yoo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Min Soo Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Min Soo Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yoo, JK., Kim, M.S. UI proposal using modified diamond pairwise comparison diagram for fuzzy integral-based GIS–MCDM. Spat. Inf. Res. 24, 303–311 (2016). https://doi.org/10.1007/s41324-016-0031-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41324-016-0031-0

Keywords

Search

Navigation