Analyzing environmental samples in nuclear safeguards evaluation by a cumulative belief degrees approach

Özgür Kabak, Da Ruan

    Research outputpeer-review

    Abstract

    In this study we apply a cumulative belief degrees approach to an environmental sampling example in nuclear safeguards evaluation. Transformation formulas for each indicator are defined for distinguishing anthropogenic natural uranium from mineral uranium. An order weighted averaging operator-based aggregation method is proposed to make a final decision. The methodology is illustrated by a numerical example.

    Original languageEnglish
    Title of host publicationComputational Intelligence – Foundations and Applications
    Subtitle of host publicationProceedings of the 9th International FLINS Conference, FLINS 2010
    EditorsDa Ruan, Etienne E. Kerre, Da Ruan, Guoqing Chen, Tianrui Li, Yang Xu
    Place of PublicationSingapore, Singapore
    PublisherWorld Scientific Publishing Co. Pte Ltd
    Pages797-805
    Number of pages9
    Volume1
    ISBN (Electronic)9814324698, 9789814324694
    ISBN (Print)978-981-4324-69-4
    DOIs
    StatePublished - 2010
    Event2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence - Chengdu
    Duration: 2 Aug 20104 Aug 2010
    Conference number: FLINS 2010

    Publication series

    NameComputer Engineering and Information Science
    Number4

    Conference

    Conference2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence
    Country/TerritoryChina
    CityChengdu
    Period2010-08-022010-08-04

    Funding

    † Ö. Kabak is beneficiary of a postdoc fellowship granted by the Belgian Federal Science Policy Office for this work (grant no: c/brs/08).

    FundersFunder number
    BELSPO - Programmatorische Federale Overheidsdienst Wetenschapsbeleidc/brs/08

      ASJC Scopus subject areas

      • Nuclear and High Energy Physics
      • Computational Theory and Mathematics
      • Information Systems

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