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PLoS ONE, 2023 As an important supplement to my country’s financial institutions, micro-loan companies serve "agriculture, rural areas and farmers", small and micro enterprises, and individuals, to a certain extent, alleviating the financing difficulties of such groups
Hui Ran
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Clustering Methods Using Distance-Based Similarity Measures of Single-Valued Neutrosophic Sets
Journal of Intelligent Systems, 2014 Clustering plays an important role in data mining, pattern recognition, and machine learning. Single-valued neutrosophic sets (SVNSs) are useful means to describe and handle indeterminate and inconsistent information that fuzzy sets and intuitionistic ...
Ye Jun
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Mathematics, 2020 Single-valued neutrosophic sets (SVNSs) can effectively describe the multi-attribute decision-making (MADM) problems which are characterized by incompleteness and uncertainty. Aiming at the MADM problem of SVNSs, a series of methods are proposed to solve
Dongsheng Xu +3 more
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Information, 2017 Single-valued neutrosophic sets (SVNSs) handling the uncertainties characterized by truth, indeterminacy, and falsity membership degrees, are a more flexible way to capture uncertainty.
Harish Garg, Nancy
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An extended DNMA-based multi-criteria decision-making method and its application in the assessment of sustainable location for a lithium-ion batteries’ manufacturing plant [PDF]
Heliyon, 2023 Lithium-ion battery (LiB), a leading residual energy resource for electric vehicles (EVs), involves a market presenting exponential growth with increasing global impetus towards electric mobility.
Arunodaya Raj Mishra +5 more
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Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method
Journal of Intelligent Systems, 2014 Clustering plays an important role in data mining, pattern recognition, and machine learning. Then, single-valued neutrosophic sets (SVNSs) are a useful means to describe and handle indeterminate and inconsistent information, which fuzzy sets and ...
Ye Jun
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Single Valued Neutrosophic Similarity Measures for Multiple Attribute Decision-Making [PDF]
Neutrosophic Sets and Systems, 2014 Similarity measures play an important role in data mining, pattern recognition, decision making, machine learning, image process etc. Then, single valued neutrosophic sets (SVNSs) can describe and handle the indeterminate and inconsistent information ...
Jun Ye, Qiansheng Zhang
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Selection of Alternative under the Framework of Single-Valued Neutrosophic Sets [PDF]
Neutrosophic Sets and Systems, 2020 The multiple criteria decision making (MCDM) problems indicate the alternatives which have more or less resemblance to each other. An important mathematical tool used by decision-makers (DMs) to quantify these resemblances is the similarity measure (SM).
M. Sarwar Sindhu +2 more
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Mathematics, 2019 With respect to multi-criteria decision-making (MCDM) problems in which the criteria denote the form of single-valued neutrosophic sets (SVNSs), and the weight information is also fully unknown, a novel MCDM method based on qualitative flexible multiple ...
Chao Tian +3 more
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A Security-by-Design Decision-Making Model for Risk Management in Autonomous Vehicles [PDF]
IEEE Access, 2021 Autonomous/self-driving vehicles have gained significant attention these days, as one of the intelligent transportation systems. However, those vehicles have risks related to their physical implementation and security against cyber threats.
Mohamed Abdel-Basset +4 more
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