Neutrosophic Sets and Systems
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.
Recommended Citation
Wang, Daoming. "Enhanced MCDM Methodology under Uncertainty: Applications to Energy Efficiency Evaluation of Mechanical and Electrical Systems in Public Buildings." Neutrosophic Sets and Systems 79, 1 (2025). https://digitalrepository.unm.edu/nss_journal/vol79/iss1/31
