Enhanced MCDM Methodology under Uncertainty: Applications to Energy Efficiency Evaluation of Mechanical and Electrical Systems in Public Buildings

Abstract

 Evaluation of Mechanical and Electrical systems in public Buildings is a multi- 
criteria decision-making problem that has various criteria. These criteria can affect energy 
efficiency. So, we aim to propose an MCDM method for rate the criteria importance and 
proposed a set of systems to select the best one in energy firms. This section can increase 
energy efficiency. We applied the ARAS methodology to rank the alternatives. The ARAS 
methodology is an MCDM method. It applied into criteria independent. The ARAS 
method is integrated under the plithogenic set to deal with the vague and uncertainty 
information. The plithogenic set is an extension of neutrosophic set and solves the 
uncertainty in the opinions of experts. Case study with seven criteria and ten systems are 
proposed in this study to select the best one. The results show the Energy Consumption 
Performance criterion has the highest score and System Maintenance and Operational 
Efficiency criterion has the lowest score. We compared the proposed method with other 
MCDM methos such as TOPSIS, VIKOR, EDAS and MABAC methos. The results show 
the proposed method is robust compared with other MCDM methods. 

DOI: 10.5281/zenodo.14597579