A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS Method: A Case Study in Libya

Abstract

Rapid increases in energy demand and international drive to reduce carbon emissions from fossil fuels have led many oil-rich countries to diversify their energy portfolio and resources. Libya is one of these countries, and it has recently become interested in utilizing its renewable-energy resources in order to reduce financial and energy dependency on oil reserves. This paper introduces an original multicriteria decision-making Pairwise-CODAS model in which the modification of the CODAS method was made using Linguistic Neutrosophic Numbers (LNN). The paper also suggests a new LNN Pairwise (LNN PW) model for determining the weight coefficients of the criteria developed by the authors. By integrating these models with linguistic neutrosophic numbers, it was shown that it is possible to a significant extent to eliminate subjective qualitative assessments and assumptions by decision makers in complex decision-making conditions. The LNN PW-CODAS model was tested and validated in a case study of the selection of optimal Power-Generation Technology (PGT) in Libya. Testing of the model showed that the proposed model based on linguistic neutrosophic numbers provides objective expert evaluation by eliminating subjective assessments when determining the numerical values of criteria. A sensitivity analysis of the LNN PW-CODAS model, carried out through 68 scenarios of changes in the weight coefficients, showed a high degree of stability of the solutions obtained in the ranking of the alternatives. The results were validated by comparison with LNN extensions of four multicriteria decision-making models.

A Robust Single-Valued Neutrosophic Soft Aggregation Operators in Multi-Criteria Decision Making

“…Ultimately, a realistic example for the selection of most illness patient is provided to develop a strategy and in accordance with expounding the utility and effectiveness of the proposed method. In the future work, the propose model further develop new soft aggregation operators for simplified neutrosophic sets and apply them to solve practical applications like engineering [63], group decision-making [64], expert system, information fusion system, fault diagnosis, robotics design [65] and other domains under different fuzzy soft environments.…”

Ranking the Libyan airlines by using Full Consistency Method (FUCOM) and Analytical Hierarchy Process (AHP)

“…Multi Criteria Decision Making MCDM methods are gaining more popularity in many fields such as logistics, supply chain management, energy, urban development, waste management, and passenger satisfaction measurement (Pamučar and Ćirović, 2015); (Tsafarakis et al, 2018, Milosavljević et al, 2018; (Petrović and Kankaraš, 2018); (Liu et al, 2018); (Vesković et al, 2018); (Pamučar et al, 2018a). MCDM methods generally work as a decision support tool to the problems containing multiple and conflicting objectives.…”

A Programming-Based Algorithm for Probabilistic Uncertain Linguistic Intuitionistic Fuzzy Group Decision-Making

“…Considering the cognitive uncertainty and fuzziness of DMs in complex decision-making environment, the application of uncertainty theory in decision-making has been widely studied. For example, Pamucar et al [18] combined with linguistic neutrosophic numbers presented the selection method of power generation technology, and Liu et al [19] established the selection model of transportation service provider with single valued neutrosophic number. In addition, preference relation (PR) has been widely used in GDM as an effective tool to express DMs' preferences over alternatives.…”