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Uranium - Past and Future Challenges pp 113–122Cite as

Fuzzy MCDA for remediation of a Uranium tailing

Abstract

The Pridneprovsky Chemical Plant was a largest uranium processing enterprises, producing a huge amount of uranium residues. The Zapadnoe tailings site contains the majority of these residues. We propose a theoretical framework based on Multi-Criteria Decision Analysis and fuzzy logic to analyse different remediation alternatives for the Zapadnoe tailings, in which potentially conflicting economic, radiological, social and environmental objectives are simultaneously taken into account. An objective hierarchy is built that includes all the relevant aspects. Fuzzy rather than precise values are proposed for use to evaluate remediation alternatives against the different criteria and to quantify preferences, such as the weights representing the relative importance of criteria identified in the objective hierarchy. Finally, it is proposed that remediation alternatives should be evaluated by means of a fuzzy additive multi-attribute utility function and ranked on the basis of the respective trapezoidal fuzzy number representing their overall utility.

Keywords

  • Fuzzy Logic
  • Fuzzy Number
  • Trapezoidal Fuzzy Number
  • Community Satisfaction
  • Remediation Alternative

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-11059-2_13
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References

  • Belton V (1990). Multiple criteria decision analysis practically the only way to choose. L.C. Hendry and R.W. Englese (Eds.), Operational Research Tutorial Papers 53-101, Birmingham: Operational Research Society.

    Google Scholar 

  • Brinkhoff P (2011). Multicriteria Analysis for Assessing Sustainability of Remedial Actions. Applications in Contaminated Land Development. Goteborg: Chalmers University of Technology.

    Google Scholar 

  • Bugay D, Voitsekhovitch O, Lavrova A, Skalsky A, Tkachenko E (2012). Definition of the assessment context and scenarios for the selected cases. Data analyses and data collection. Case A Zapadnoe tailings. Report on the Project ENSURE-II: Work Package 2, Kiev: Ecomonitor.

    Google Scholar 

  • Chen S.J Hwang C.L (1992). Fuzzy Multiple Attribute Decision Making: Methods and Applications. New York: Springer. Dursun M (2007). Evaluating solid waste management scenarios using fuzzy multicriteria decision making approaches. Thesis of Master of Science. Istanbul: Galatasaray University.

    Google Scholar 

  • Goldammer W, Nüsser A, Bütow E, Lühr H.P (1999). Integrated assessment of radiological and nonradiological risks at contaminated sites. Mathematische Geologie, 3, 53-72.

    Google Scholar 

  • Jiménez A, Ríos-Insua S, Mateos A (2006). A Generic Multiattribute Analysis System. Computers and Operations Research, 33, 1081-1101.

    Google Scholar 

  • UHMI (2009). Analytical measurements of samples of material from tailings according to parameters of spectrum of priority alpha- and gamma-emitting radionuclides of U-Th series using methods of low background semiconductor alpha- and gamma-spectroscopy. Final report on contract No.31 with SE Baryer, Kiev: UHMI Institute.

    Google Scholar 

  • Vicente E, Mateos A, Jiménez A (2013). A new similarity function for generalized trape-zoidal fuzzy numbers. Lecture Notes in Computer Science, 7895, 400-411.

    Google Scholar 

  • Zadeh L.A (1965). Fuzzy sets. Information and Control, 8, 338-353.

    Google Scholar 

  • Xu Z, Shang S, Qian W, Shu W (2010). A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers. Expert Systems with Applications, 37, 1920-1927.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Radiological Protection of the Public and Environment, CIEMAT, Madrid, Spain

    Danyl Pérez-Sánchez & Alla Dvorzhak

  2. Decision Analysis and Statistics Group, UPM, Madrid, Spain

    Antonio Jiménez & Alfonso Mateos

Authors
  1. Danyl Pérez-Sánchez
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  2. Antonio Jiménez
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  3. Alfonso Mateos
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  4. Alla Dvorzhak
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Editor information

Editors and Affiliations

  1. Institute for Geology, TU Bergakademie Freiberg, Freiberg, Germany

    Broder J. Merkel

  2. Geology, TU Bergakademie Freiberg, Freiberg, Germany

    Alireza Arab

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Pérez-Sánchez, D., Jiménez, A., Mateos, A., Dvorzhak, A. (2015). Fuzzy MCDA for remediation of a Uranium tailing. In: Merkel, B., Arab, A. (eds) Uranium - Past and Future Challenges. Springer, Cham. https://doi.org/10.1007/978-3-319-11059-2_13

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