Assessment of Residential Building Energy-Saving with 2-Tuple Linguistic Information

With the acceleration of the process of our country’s urbanization, the investment of urban infrastructure construction continues to increase and the construction industry has become a pillar industry of the national economy. However, the proportion of building energy consumption in the total energy is increasing at the same time. In order to achieve the sustainable development of the society, the energy-saving target is proposed in the 12th Five-Year Plan of China, which sets for the requirements for building energy-saving in Shaanxi Province. Evaluation of building energy-saving is an effective method to promote the healthy development of the work of building energy efficiency, but there is not a complete, reasonable and practicable the evaluation system. In this paper, we investigate the multiple attribute group decision making (MAGDM) problems for evaluating the residential building energy-saving with 2-tuple linguistic information. Then, a model based on the 2-tuple weighted geometric (TWG) operator to evaluate the residential building energy-saving is presented. In this model, alternative appraisal values are calculated by the aggregation of 2-tuple linguistic information. Thus, the ranking of alternative or selection of the most desirable trip(s) is obtained by the comparison of 2-tuple linguistic information. Finally, an illustrative example for evaluating the residential building energy-saving is given to verify the developed approach and to demonstrate its practicality and effectiveness.