A circular economy based nonlinear corrugated waste management system using Fermatean bipolar hesitant fuzzy logic. [PDF]
Chaudhary S, Saha AK, Sharma MK.
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Location selection for offshore wind power station using interval-valued intuitionistic fuzzy distance measure-RANCOM-WISP method. [PDF]
Rani P +3 more
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Assessing cybersecurity risks and prioritizing top strategies In Vietnam's finance and banking system using strategic decision-making models-based neutrosophic sets and Z number. [PDF]
Nguyen PH +5 more
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A dual hesitant fuzzy entropy-TOPSIS framework for multi-criteria evaluation of medical E-learning systems. [PDF]
Abughazalah N, Khan M.
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Research on the evaluation method of whole process engineering consulting service modes based on uncertain multiple-attribute group decision-making. [PDF]
Wang X, Hou Y, Peng J, Hu J.
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Advancement in real time football analysis using fuzzy based decision-making of the WASPAS method. [PDF]
Ma J.
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Yang, Hai-Long +4 more
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Subsethood measure for single valued neutrosophic sets
Journal of Intelligent & Fuzzy Systems, 2015Abstract The main aim of this paper is to introduce a neurosophic subsethood measure for single valued neutrosophic sets. For this purpose, we first introduce a system of axioms for subsethood measure of single valued neutrosophic sets. Then we give a simple subsethood measure based to distance measure.
Sahin, Ridvan, KÜÇÜK, Ahmet
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Further research of single valued neutrosophic rough sets
Journal of Intelligent & Fuzzy Systems, 2017Smarandache (1998) initiated neutrosophic sets (NSs) as a new mathematical tool for dealing with problems involving incomplete, indeterminant and inconsistent knowledge. By simplifying NSs, Smarandache (1998) and Wang et al. (2010) proposed the concept of single valued neutrosophic sets (SVNSs) and studied some properties of SVNSs.
Liu, Yan-Ling, Yang, Hai-Long
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A New Similarity Measure for Single Valued Neutrosophic Sets
2021The single-valued neutrosophic set (\(\mathcal {SVNS}\)) defined to incorporate the indeterminate, imprecise, and inconsistent data in real-life scientific and engineering problems. The uncertain information is significantly measured by similarity and dissimilarity measures. The similarity and dissimilarity measures are employed to depict the closeness
Muhammad Jabir Khan, Poom Kumam
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