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Energy of a neutrosophic soft set and its applications to multi-criteria decision-making problems
In our paper, we continue the study of the theory of neutrosophic soft sets and their properties. Based on the singular values of the corresponding matrix, we de ne the energy of a neutrosophic soft set, as well as the lower energy of a neutrosophic soft set and the upper energy of a neutrosophic soft set, allowing us to introduce an e ective method for decision-making. To do this, we rst write a neutrosophic soft set as a matrix and multiply it by its transpose with respect to the given product and the given norm t, s. Then, we consider the limits of the de ned energies, which are essentially non-negative numerical values. The paper demonstrates through examples how the introduced method can be successfully applied to many problems containing uncertainties
Enhanced MCDM Methodology under Uncertainty: Applications to Energy Efficiency Evaluation of Mechanical and Electrical Systems in Public Buildings
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
Enhanced Technique for Operation Evaluation of Distribution Network Automation Systems Based on the Uncertainty Environment
Evaluation of the distribution network automation systems is a complex task due to it containing various criteria. So, this evaluation is an multi-criteria decision making (MCDM) problem. We used the VIKOR method to rank the alternatives. The VIKOR method is integrated with the plithogenic set to deal with uncertainty information in the evaluation distribution network automation system. Three experts are invited to evaluate the criteria and alternatives. An application with eight criteria and 12 alternatives is collected to select the highest importance criterion and highest score alternatives. The results show the System Reliability and Stability criterion has the highest importance and the User Interface and Control Systems criterion has the lowest importance. We performed sensitivity analysis with ten cases to show the different rank of alternatives. The results show the proposed method is stable in different cases
2023/2024 UNMV Early Childhood Ed AA Assessment
https://digitalrepository.unm.edu/provost_assessment/4246/thumbnail.jp
Enhancing Interdisciplinary Collaboration Through the Use of a Leadership Assessment: An Interdisciplinary Initiative for DNP, PharmD, and Medical Students
2023/2024 CAS Environmental Sciences BS Assessment
https://digitalrepository.unm.edu/provost_assessment/4275/thumbnail.jp
2023/20204 CAS English BA Assessment
https://digitalrepository.unm.edu/provost_assessment/4278/thumbnail.jp
2023/2024 CAS International Studies BA Assessment Plan
https://digitalrepository.unm.edu/provost_assessment/4281/thumbnail.jp
2023/2024 COEHS Education MA Assessment
https://digitalrepository.unm.edu/provost_assessment/4328/thumbnail.jp