Comprehensive Review MEREC weighting method for Smart Building Selection for New Capital using neutrosophic theory

Population growth has become a serious problem in many countries, especially Egypt. Which leads 
to an increase in the population area and an increase in buildings, which then leads to several 
problems, including large energy consumption, increased pollution, traffic congestion, and others. 
Therefore, many governments have resorted to using technology and applying it to build smart 
buildings to help save energy by using renewable energy to improve its impact on the environment, 
improve the quality of life of citizens, provide security and safety, and so on. The selection of 
smart buildings depends on many criteria. Since this problem is described as a multi-criteria 
decision-making (MCDM) problem, MCDM methods will be used in this paper. A hybrid method 
is presented to evaluate smart buildings. The first method, MEREC, was used to calculate the 
weights of criteria, and the VIKOR model was used for ranking alternatives. Then applying those 
weights to the CoCoSo, COPRAS, and TOPSIS methods for making comparisons using 
Spearman`s correlation coefficients for ranking these four methods. All methods used are applied 
in the T2NN environment.