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Liang Liang

Researcher at Hefei University of Technology

Publications -  69
Citations -  2603

Liang Liang is an academic researcher from Hefei University of Technology. The author has contributed to research in topics: Data envelopment analysis & Chemistry. The author has an hindex of 22, co-authored 62 publications receiving 1955 citations. Previous affiliations of Liang Liang include University of Science and Technology of China.

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DEA Models for Extended Two-Stage Network Structures

TL;DR: Two models are proposed to evaluate the performance of this type general two-stage network structures where all outputs of the first stage are the only inputs to the second stage, and a non-cooperative model, in which one of the stages is regarded as the leader and the other is the follower.
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Predicting corporate financial distress based on integration of support vector machine and logistic regression

TL;DR: An integrated binary discriminant rule (IBDR) for corporate financial distress prediction is developed by interpreting and modifying the outputs of the SVM classifiers according to the result of logistic regression analysis.
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Eco-efficiency analysis of paper mills along the Huai River: An extended DEA approach

TL;DR: A new approach of defining reference set that requires reference units operate in a similar environment on average is described, and a non-radial output-oriented DEA model is proposed to provide efficient inputs/outputs targets for DMU managers to improve DMUs' efficiencies.
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Measuring energy and environmental efficiency of transportation systems in China based on a parallel DEA approach

TL;DR: Wang et al. as discussed by the authors applied data envelopment analysis (DEA) to measure the energy and environment performance of transportation systems in China with the goal of sustainable development, treating transportation as a parallel system consisting of subsystems for passenger transportation and freight transportation, and extending a parallel DEA approach to evaluate the efficiency of each subsystem.
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Energy and environmental efficiency measurement of China's industrial sectors: A DEA model with non-homogeneous inputs and outputs

TL;DR: Wang et al. as mentioned in this paper extended the DEA model to consider two-sided nonhomogeneous problems, handling DMU sets that have non-homogeneity in both inputs and outputs, and the overall efficiency of 38 industrial sectors in China maintained a rising trend in five years.