Single-step ahead prediction based on the principle of concatenation using grey predictors

With the industrialization and urbanization speeding up constantly in China, the energy consumption grows rapidly. As the energy consumption increases rapidly, the energy production has been unable to meet the requirements of energy consumption growth. Energy saving mainly focused on energy-saving technologies and the choice of energy-saving measures, the researches of appraisal on energy conservation policies are few. Based on the property of the energy policy evaluation, the evaluation method on three-point interval number comparison matrix is put forward to solve the problem of preference information that is often lost by modeling complex group decision making processes. The proposed method´s consistency, weight estimation approach and group decision-making aggregation approach are studied. Based on the complete consistency definition of three-point interval number matrix, a definition of possible value error is introduced. Following these definitions, a weight estimation model is developed based on the minimal sum error. In the last, several energy policies on oil and gas field in China are evaluated via the suggested approach and it illustrates the step and the validity.