Fuzzy Indices with Applications to Human Trafficking

Mordeson, John N.; Schwab-McCoy, Aimee; Mathew, Sunil; Binu, M.

doi:10.1142/s1793005719500236

Cited by 6 publications

(1 citation statement)

References 2 publications

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“…Initially, these parameters were discovered to correlate certain chemical properties related to chemical compounds with their molecular graphs [2], [6]. In some recent articles, applications of certain TI's in context of human trafficking, illegal immigration and water pipeline networks have been studied [3], [13]. In this regard, an application of the TI, namely MI in context of data flow problem in wireless routing networks (WRN) is included here.…”

Section: Application and Graphical Analysismentioning

confidence: 99%

Mostar Index of Neural Networks and Applications

et al. 2023

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Neural networks are mathematical models that use learning algorithms inspired by the brain to store information. These networks have been extensively used to operate cognitive functions, robustness, fault tolerance, flexibility, collective computation, and ability to deal with fuzzy and inconsistent information. In recent years, probabilistic neural network PNN and convolutional neural network CNN have been employed in optimization problems such as input normalization and decision making tasks. The flow of data in PNN and CNN will be optimized if its peripherality is minimized. Topological index (TI) is a graph invariant initially introduced to study physiochemical properties of chemical networks. They are further applicable to study certain mathematical aspects of a network such as irregularity, centrality and peripherality. Recently, the Mostar index and edge Mostar index have been introduced to study peripherality of various networks. In the current work, Mostar indices for PNN and CNN have been computed and their application in context of data flow problem together with graphical analysis is presented. INDEX TERMS Mostar index, Neural networks, Peripherality, Topological indices.

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Section: Application and Graphical Analysismentioning

confidence: 99%

Mostar Index of Neural Networks and Applications

et al. 2023

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Human Trafficking Routes and Fuzzy Graphs

Mordeson,

Mathew

2024

Intelligent Systems Reference Library

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An investigation of edge F-index on fuzzy graphs and application in molecular chemistry

Islam

Pal

2022

Complex Intell. Syst.

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The molecular descriptors are a useful tool in the spectral graph, molecular chemistry and several fields of chemistry and mathematics. The edge F-index is proposed for fuzzy graphs (FGs) here. Bounds of this index are calculated for FGs. The FG has been investigated for a given set of vertices as having maximum edge F-index. Some relations of this index with the second Zagreb index and hyper-Zagreb index are established. For an isomorphic FGs, it is shown that the value of this index is the same. Bounds of this index for some FG operations are determined. Also, an application of the index in mathematical chemistry is studied. For this, 18 octane isomers and 67 alkanes are considered and analyzed the correlation between this index with some properties of the octane isomers and alkanes. From the correlation coefficient value, we have obtained this index is highly correlated with enthalpy of vaporization, standard enthalpy of vaporization, entropy, acentric factor and heat of vaporization and less correlated with heat capacity for octane isomers. Also, this index is correlated with critical pressure, critical temperature, molar refraction, molar volume and boiling point and is less correlated with surface tension and heat of vaporization for alkanes. But, this index is inadequate to determine the melting point of alkanes.

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Fuzzy Indices with Applications to Human Trafficking

Cited by 6 publications

References 2 publications

Mostar Index of Neural Networks and Applications

Mostar Index of Neural Networks and Applications

Human Trafficking Routes and Fuzzy Graphs

An investigation of edge F-index on fuzzy graphs and application in molecular chemistry

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