Multi-criteria neutrosophic decision making method based on score and accuracy functions under neutrosophic environment
This work addresses decision-making problems in uncertain environments for researchers and practitioners in fields like operations research or data analysis, but it appears incremental as it builds on existing neutrosophic set theory.
The paper tackles the problem of multi-criteria decision making under uncertainty by proposing new score and accuracy functions for single-valued and interval neutrosophic sets, which are used to rank alternatives and select the best ones, with illustrative examples verifying the approach's practicality and effectiveness.
A neutrosophic set is a more general platform, which can be used to present uncertainty, imprecise, incomplete and inconsistent. In this paper a score function and an accuracy function for single valued neutrosophic sets is firstly proposed to make the distinction between them. Then the idea is extended to interval neutrosophic sets. A multi-criteria decision making method based on the developed score-accuracy functions is established in which criterion values for alternatives are single valued neutrosophic sets and interval neutrosophic sets. In decision making process, the neutrosophic weighted aggregation operators (arithmetic and geometric average operators) are adopted to aggregate the neutrosophic information related to each alternative. Thus, we can rank all alternatives and make the selection of the best of one(s) according to the score-accuracy functions. Finally, some illustrative examples are presented to verify the developed approach and to demonstrate its practicality and effectiveness.