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Decision making with MABAC method under probabilistic single-valued neutrosophic hesitant fuzzy environment
(Springer Heidelberg, 2020)
Recently, there has been great interest on single valued neutrosophic hesitant fuzzy set theory. When compared single valued neutrosophic set, it is more convenient for real life situations. But even in this case, there ...
Multi-criteria decision making approach based on PROMETHEE with probabilistic simplified neutrosophic sets
(Springer, 2020)
Probabilistic simplified neutrosophic set (PSNS) is an important tool to describe the vagueness existing in the real life. In this study, we define a PSNS and discuss some of theoretical set operations of PSNSs. Also we ...
Correlation coefficients of simplified neutrosophic multiplicative sets and their applications in clustering analysis
(Springer Heidelberg, 2021)
The use of fuzzy sets, intuitionistic fuzzy sets and neutrosophic sets can often handle with real-life problems that contain incomplete and uncertain information. The 0-1 scale is used to deal with such information which ...
A Neutrosophic VIKOR Method-Based Decision-Making with an Improved Distance Measure and Score Function: Case Study of Selection for Renewable Energy Alternatives
(Springer, 2020)
In this study, a new score and distance function which provides more accurate results than the studies in the literature and considers the decision maker's cognition has been proposed. In order to show the effects of the ...
A Novel Group Decision-Making Method Based on Linguistic Neutrosophic Maclaurin Symmetric Mean (Revision IV)
(Springer, 2020)
Linguistic neutrosophic number (LNN) is a specific form of neutrosophic number whose elements are expressed by linguistic terms. Maclaurin symmetric mean (MSM) operator is one of the basic collection operators in the modern ...
A simplified neutrosophic multiplicative set-based TODIM using water-filling algorithm for the determination of weights
(Wiley, 2020)
Due to the technological developments around the world, the amount of information that researchers work on increases continuously. This information density contains incomplete and uncertain data that cannot be fully expressed ...
