Simulation with system dynamics and fuzzy reasoning of a tax policy to reduce CO2 emissions in the residential sector
نویسندگان
چکیده
The methodological paper presents a strategic model to simulate the reduction of CO2 emissions caused by the heating and lighting in the residential sector. The objective is to illustrate with this practical case a system-dynamics based simulation methodology in uncertain future, developed for providing policy recommendations to public decision-makers. The uncertainties on the marginal cost curves and the macroeconomic impacts of the tax policy are modelled by fuzzy rules established by experts with defined credibility levels.
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ورودعنوان ژورنال:
- European Journal of Operational Research
دوره 185 شماره
صفحات -
تاریخ انتشار 2008