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Fuzzy sets ; Zbiory rozmyte ; Handel emisjami ; Niepewność ; Uncertainty ; Interval calculus ; Compliance ; Greenhouse gases emission inventories ; Zgodność ; Inwentaryzacje emisji gazów cieplarnianych ; Rachunek całkowy ; Emission permit trading
Greenhouse gases emission inventories are computed with rather low precision. Moreover, their uncertainty distributions may be asymmetric. This should be accounted for in the compliance and trading rules. In this paper we model the uncertainty of inventories as intervals or using fuzzy numbers. The latter allows us to shape better the uncertainty distributions. Obtained compliance and emission trading rules generalize those for the symmetric uncertainty distributions, which were considered in the earlier papers. However, unlike in the symmetric distribution, it is necessary in the asymmetric fuzzy case to apply approximations due to nonlinearities in the formulas. The final conclusion is that the interval uncertainty rules can be applied, but with much higher substitutional noncompliance risk, which is a parameter of the rules.
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Projects co-financed by:
Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.