Multi Attribute Decision Making Based On Rough Neutrosophic Variational Coefficient Similarity Measure
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Multi-attribute Decision Making based on Rough Neutrosophic Variational Coefficient Similarity Measure
The purpose of this study is to propose new similarity measures namely rough variational coefficient similarity measure under the rough neutrosophic environment.
Multi Criteria Decision Making Based on Projection and Bidirectional Projection Measures of Rough Neutrosophic Sets
In this paper, we define projection and bidirectional projection measures between rough neutrosophic sets. Then two new multi criteria decision making methods are proposed based on neutrosophic projection and bidirectional projection measures respectively. Then the proposed methods are applied for solving multiple criteria group decision making problems. Finally, two numerical examples are provided to demonstrate the applicability and effectiveness of the proposed methods.
Neutrosophic Cubic MCGDM Method Based on Similarity Measure
The notion of neutrosophic cubic set is originated from the hybridization of the concept of neutrosophic set and interval valued neutrosophic set.