Sign Up to like & get
recommendations!
0
Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2925-8
Abstract: Single-valued trapezoidal neutrosophic numbers (SVTNNs) have a strong capacity to depict uncertain, inconsistent, and incomplete information about decision-making problems. Preference relations represent a practical tool for presenting decision makers’ preference information regarding various alternatives. The…
read more here.
Keywords:
decision;
information;
valued trapezoidal;
single valued ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "Cognitive Computation"
DOI: 10.1007/s12559-020-09736-2
Abstract: Single-valued trapezoidal neutrosophic numbers (SVTNNs) are very useful tools to describe complex cognitive information because of their advantage in maintaining the completeness and accuracy of information. This paper develops a method based on the single-valued…
read more here.
Keywords:
possibility degree;
valued trapezoidal;
power;
trapezoidal neutrosophic ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-017-0335-9
Abstract: AbstractThe Maclaurin symmetric mean (MSM) operator has a desirable property that it can capture the interrelationships among multi-input arguments and it is a generalization of some existing aggregation operators by changing the value of parameter…
read more here.
Keywords:
valued trapezoidal;
single valued;
trapezoidal neutrosophic;
decision making ... See more keywords