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Compliance for uncertain inventories via probabilistic/fuzzy comparison of alternatives

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Listed:
  • Olgierd Hryniewicz
  • Zbigniew Nahorski
  • Jörg Verstraete
  • Joanna Horabik
  • Matthias Jonas

Abstract

A direct comparison among highly uncertain inventories of emissions is inadequate and may lead to paradoxes. This issue is of particular importance in the case of greenhouse gases. This paper reviews the methods for the comparison of uncertain inventories in the context of compliance checking. The problem is treated as a comparison of uncertain alternatives. It provides a categorization and ranking of the inventories which can induce compliance checking conditions. Two groups of techniques to compare uncertain estimates are considered in the paper: probabilistic and fuzzy approaches. They show certain similarities which are revealed and stressed throughout the paper. The group of methods most suitable for the compliance purpose is distinguished. They introduce new conditions for fulfilling compliance, depending on inventory uncertainty. These new conditions considerably change the present approach, where only the reported values of inventories are accounted for. Copyright The Author(s) 2014

Suggested Citation

  • Olgierd Hryniewicz & Zbigniew Nahorski & Jörg Verstraete & Joanna Horabik & Matthias Jonas, 2014. "Compliance for uncertain inventories via probabilistic/fuzzy comparison of alternatives," Climatic Change, Springer, vol. 124(3), pages 519-534, June.
    • Handle: RePEc:spr:climat:v:124:y:2014:i:3:p:519-534
    DOI: 10.1007/s10584-013-1031-x
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    References listed on IDEAS

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    1. Odd Godal & Yuri Ermoliev & Ger Klaassen & Michael Obersteiner, 2003. "Carbon Trading with Imperfectly Observable Emissions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(2), pages 151-169, June.
    2. Graves, Samuel B. & Ringuest, Jeffrey L., 2009. "Probabilistic dominance criteria for comparing uncertain alternatives: A tutorial," Omega, Elsevier, vol. 37(2), pages 346-357, April.
    3. M. Jonas & S. Nilsson & M. Obersteiner & M. Gluck & Y.M. Ermoliev, 1999. "Verification Times Underlying the Kyoto Protocol: Global Benchmark Calculations," Working Papers ir99062, International Institute for Applied Systems Analysis.
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    Cited by:

    1. Jörg Verstraete, 2019. "Solving the general map overlay problem using a fuzzy inference system designed for spatial disaggregation," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 1101-1122, August.

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