Abstract | ||
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The aim of this manuscript is to propose a new extension of the MULTIMOORA method adapted for usage with a neutrosophic set. By using single valued neutrosophic sets, the MULTIMOORA method can be more efficient for solving complex problems whose solving requires assessment and prediction, i.e. those problems associated with inaccurate and unreliable data. The suitability of the proposed approach is presented through an example. |
Year | DOI | Venue |
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2017 | 10.15388/Informatica.2017.125 | INFORMATICA |
Keywords | Field | DocType |
neutrosophic set, single valued neutrosophic set, MULTIMOORA, MCDM | Computer science,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
28 | 1 | 0868-4952 |
Citations | PageRank | References |
15 | 0.62 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dragisa Stanujkic | 1 | 45 | 5.45 |
Edmundas Kazimieras Zavadskas | 2 | 500 | 49.88 |
Florentin Smarandache | 3 | 728 | 104.92 |
Willem Karel M. Brauers | 4 | 94 | 5.62 |
Darjan Karabasevic | 5 | 15 | 0.62 |