Measuring the performance of thermal power firms in China via fuzzy Enhanced Russell measure model with undesirable outputs

Thermal power has accounted for the major part of the electricity generation over recent several decades in China. It plays an important role in supporting China's economic development while it also brings great pressure to the environment protection because of a large amount of pollution generated during its production. In order to solve or alleviate the environmental problem caused by thermal power firms, efficiency evaluation is the first important step. As thermal power firm is a complex system with multiple inputs and multiple outputs, usually including fuzzy data and undesirable outputs in the productions, in this paper, we build an integrated Enhanced Russell measure model based on data envelopment analysis for evaluating the performance of decision making units in the presence of the undesirable outputs in fuzzy circumstance. Then, this new model is applied to analyze the environmental performance and provide the benchmarks for the thermal power firms in China which can guide the decision makers to make suitable future production plans for improving their performance.