Hyperbolic Sine Similarity Measure of SVNSs for Open-Pit Mine Slope Stability Classification and Assessment [PDF]
Neutrosophic Sets and Systems, 2023 Slope instability is a common geological hazard in open-pit mines, which may cause huge economic losses and casualties. Thus, it is important to cluster and evaluate the stability of slopes effectively.
Yi Ding, Jun Ye
doaj +3 more sources
Blockchain Risk Evaluation on Enterprise Systems using an Intelligent MCDM based model [PDF]
Neutrosophic Sets and Systems, 2020 Blockchain technology (BT) has become popular in the firms in the present time, however, implementation of BT includes several risk factors from various points of view. Some of these risks can be serious for the processes of firms.
Ahmed Abdel-Monem +2 more
doaj +4 more sources
Open-Pit Mine Slope Stability Clustering Analysis and Assessment Models Based on an Inverse Hyperbolic Sine Similarity Measure of SVNSs [PDF]
Neutrosophic Sets and Systems, 2023 Slope instability is a common and typical problem of geological hazards, often accompanied by significant losses. So, it is necessary to provide some simple and effective methods to avoid the potential geological hazards of slope instability.
Kaiqian Du, Shigui Du, Jun Ye
doaj +2 more sources
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
doaj +3 more sources
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
doaj +2 more sources
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 ...
Jun Ye
exaly +2 more sources
A parametric similarity measure for neutrosophic set and its applications in energy production [PDF]
HeliyonAs a useful tool for managing ambiguous and inconsistent data, the Single Value Neutrosophic Set (SVNSs) is an extension of both Fuzzy Sets (FSs) and Intuitionistic Fuzzy Sets (IFSs).
Peide Liu +4 more
doaj +2 more sources
Statistical correlation coefficients for single-valued neutrosophic sets and their applications in medical diagnosis [PDF]
AIMS Mathematics, 2023 The concept of single-valued neutrosophic sets (SVNSs) is considered as an attractive tool for dealing with highly ambiguous and uncertain information.
Xiaoyan Zhou, Mingwei Lin
exaly +3 more sources
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
doaj +4 more sources
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 ...
Jun Ye
exaly +2 more sources