Limitation of pollutant emissions by a central planner is an often applied tool in environmental policy. In this paper we consider a situation of very uncertain emission estimates. An approach to verification of compliance in such cases was proposed by the present authors. The method makes use of the fuzzy numbers to represent emission uncertainty. In this paper we consider the problem of choice of an analytical membership function for the fuzzy number, where information on an emission uncertainty distribution is provided by the Monte Carlo method. To assess accuracy of decision parameters for different analytical membership functions, we perform simulations for a few national greenhouse gases emission inventories. The investigation results show that the function proposed in the earlier publications is the most robust and convenient in practical applications.
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.
Oct 15, 2021
Jul 19, 2021