Algorithms For Neutrosophic Soft Decision Making Based On Edas New Similarity Measure And Level Soft Set
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Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set
| Author | : Xindong Peng |
| Publisher | : Infinite Study |
| Total Pages | : 14 |
| Release | : |
| Genre | : |
| ISBN | : |
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This paper presents three novel single-valued neutrosophic soft set (SVNSS) methods. First, we initiate a new axiomatic definition of single-valued neutrosophic similarity measure, which is expressed by single-valued neutrosophic number (SVNN) that will reduce the information loss and remain more original information.
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