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A New Grey Relational Analysis Model Based on the Characteristic of Inscribed Core (IC-GRA) and Its Application on Seven-Pilot Carbon Trading Markets of China
10 references·1 citing·36 second hop
A New Grey Relational Analysis Model Based on the Characteristic of Inscribed Core (IC-GRA) and Its Application on Seven-Pilot Carbon Trading Markets of China (2018)A New Grey Relational Analysis Model Base…Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application (2018)Improved multi-variable grey …Forecasting the output of shale gas in China using an unbiased grey model and weakening buffer operator (2018)Forecasting the output of sha…Forecasting the electricity consumption of commercial sector in Hong Kong using a novel grey dynamic prediction model (2018)Forecasting the electricity c…A self‐adaptive intelligence gray prediction model with the optimal fractional order accumulating operator and its application (2017)A self‐adaptive intelligence …Forecasting the natural gas demand in China using a self-adapting intelligent grey model (2016)Forecasting the natural gas d…Valuing the carbon exposure of European utilities. The role of fuel mix, permit allocation and replacement investments (2012)Valuing the carbon exposure o…Novel models of grey relational analysis based on visual angle of similarity and nearness (2011)Novel models of grey relation…A novel grey relational model based on grey number sequences (2011)A novel grey relational model…Study on a New Definition of Degree of Grey Incidence (2006)Study on a New Definition of …Introduction to Grey system theory (1989)Introduction to Grey system t…Factor analysis and carbon price prediction based on empirical mode decomposition and least squares support vector machine optimized by improved particle swarm optimization (2020)Factor analysis and carbon pr…The arbitrage theory of capital asset pricing (1976)The Cross-Section of Expected Stock Returns (1992)The theory and practice of corporate finance: evidence from the field (2001)Does EU emissions trading bite? An event study (2014)The Impact of Liberalization and Environmental Policy on the Financial Returns of European Energy Utilities (2017)Does the Carbon Emissions Trading Policy Increase Corporate Tax Avoidance? Evidence from China (2022)A brief introduction to grey systems theory (2011)A brief introduction to grey systems theory (2012)A summary on the research of GRA models (2013)Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis (2017)Discrete grey forecasting model and its optimization (2008)Grey Systems: Theory and Applications (2011)Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model (2012)An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting (2018)Fractional Hausdorff grey model and its properties (2020)Grey system model with the fractional order accumulation (2012)Environmental Regulation, Two-Way Foreign Direct Investment, and Green Innovation Efficiency in China’s Manufacturing Industry (2018)Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity (2019)Forecasting annual electricity consumption in China by employing a conformable fractional grey model in opposite direction (2020)Grey Systems: Theory and Applications (2010)A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries (2018)Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption (2018)How to peak carbon emissions of provincial construction industry? Scenario analysis of Jiangsu Province (2021)Control problems of grey systems (1982)Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China (2018)Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model (2020)Vague sets are intuitionistic fuzzy sets (1996)Application of decision-making techniques in supplier selection: A systematic review of literature (2012)Fuzzy best-worst multi-criteria decision-making method and its applications (2017)Applying fuzzy grey relational analysis for ranking the advanced manufacturing systems (2012)Commercial bank credit risk management based on grey incidence analysis (2012)Interval grey number sequence prediction by using non-homogenous exponential discrete grey forecasting model (2015)The innovative performance evaluation model of grey factor analysis: A case study of listed biotechnology corporations in Taiwan (2010)Advance in grey incidence analysis modelling (2011)Systems Evaluation through New Grey Relational Analysis Approach: An Application on Thermal Conductivity—Petrophysical Parameters’ Relationships (2019)New grey forecasting model with its application and computer code (2020)
this work references cited by second hop

References

  • 1989Introduction to Grey system theory4,260 cited
  • 2016Forecasting the natural gas demand in China using a self-adapting intelligent grey model198 cited
  • 2018Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application161 cited
  • 2011Novel models of grey relational analysis based on visual angle of similarity and nearness146 cited
  • 2018Forecasting the output of shale gas in China using an unbiased grey model and weakening buffer operator144 cited
  • 2017A self‐adaptive intelligence gray prediction model with the optimal fractional order accumulating operator and its application92 cited
  • 2012Valuing the carbon exposure of European utilities. The role of fuel mix, permit allocation and replacement investments73 cited
  • 2011A novel grey relational model based on grey number sequences59 cited
  • 2018Forecasting the electricity consumption of commercial sector in Hong Kong using a novel grey dynamic prediction model49 cited
  • 2006Study on a New Definition of Degree of Grey Incidence45 cited

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  • 2020Factor analysis and carbon price prediction based on empirical mode decomposition and least squares support vector machine optimized by improved particle swarm optimization34 cited

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