Abstract

This paper discusses a carbon emission allowance allocation problem from a regional authority’s perspective under a fuzzy environment, which is a multi-objective optimization process. Uncertain parameters are depicted as fuzzy variables and fuzzy expected value notions are introduced to cope with the uncertainty. A fuzzy logic controlled genetic algorithm is designed as a solution method to solve the above problem. Finally, the results of a case study for the carbon emission allowance allocation problem about China Southern Power Grid Company Limited are proposed to show the practicality and efficiency of the optimization method.

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