Downloads provided by UsageCounts
We firstly present definitions and properties in study of Maji \cite{maji-2013} on neutrosophic soft sets. We then give a few notes on his study. Next, based on ��a��man \cite{cagman-2014}, we redefine the notion of neutrosophic soft set and neutrosophic soft set operations to make more functional. By using these new definitions we construct a decision making method and a group decision making method which selects a set of optimum elements from the alternatives. We finally present examples which shows that the methods can be successfully applied to many problems that contain uncertainties.
arXiv admin note: text overlap with arXiv:1305.2724 by other authors
FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Neutrosophic set, Computer Science - Artificial Intelligence, neutrosophic set, neutrosophic soft sets, Neutrosophic soft set
FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Neutrosophic set, Computer Science - Artificial Intelligence, neutrosophic set, neutrosophic soft sets, Neutrosophic soft set
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 11 | |
| downloads | 7 |

Views provided by UsageCounts
Downloads provided by UsageCounts