On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making Models

In various decision-making models the divergence measure is found to be a useful information measure in handling impreciseness and uncertainty among the qualitative and quantitative factors of the decision-making process. In the proposed work, a novel parametric divergence measure for neutrosophic s...

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Main Authors: Abhishek Guleria, Saurabh Srivastava, Rakesh Kumar Bajaj
Format: Article
Language:English
Published: University of New Mexico 2019-11-01
Series:Neutrosophic Sets and Systems
Online Access:http://fs.unm.edu/NSS/OnParametricDivergence.pdf
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author Abhishek Guleria
Saurabh Srivastava
Rakesh Kumar Bajaj
author_facet Abhishek Guleria
Saurabh Srivastava
Rakesh Kumar Bajaj
author_sort Abhishek Guleria
collection DOAJ
description In various decision-making models the divergence measure is found to be a useful information measure in handling impreciseness and uncertainty among the qualitative and quantitative factors of the decision-making process. In the proposed work, a novel parametric divergence measure for neutrosophic sets has been proposed along with its various properties. On the basis of the proposed parametric divergence measure, we have outlined some methodologies along with its implementing procedural steps for classification problem (pattern recognition problem, medical diagnosis problem) and multi criteria decision making problem. Also, numerical examples for the application problems have been provided for illustration of the proposed methodologies. Comparative remarks along with necessary observations and advantages have also been presented in view of the existing appraoches.
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spelling doaj.art-43bd6628f3cc4c18b27f2d75178ee2d62022-12-22T01:08:03ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2019-11-012910112010.5281/zenodo.3514411On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making ModelsAbhishek GuleriaSaurabh SrivastavaRakesh Kumar BajajIn various decision-making models the divergence measure is found to be a useful information measure in handling impreciseness and uncertainty among the qualitative and quantitative factors of the decision-making process. In the proposed work, a novel parametric divergence measure for neutrosophic sets has been proposed along with its various properties. On the basis of the proposed parametric divergence measure, we have outlined some methodologies along with its implementing procedural steps for classification problem (pattern recognition problem, medical diagnosis problem) and multi criteria decision making problem. Also, numerical examples for the application problems have been provided for illustration of the proposed methodologies. Comparative remarks along with necessary observations and advantages have also been presented in view of the existing appraoches.http://fs.unm.edu/NSS/OnParametricDivergence.pdf
spellingShingle Abhishek Guleria
Saurabh Srivastava
Rakesh Kumar Bajaj
On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making Models
Neutrosophic Sets and Systems
title On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making Models
title_full On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making Models
title_fullStr On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making Models
title_full_unstemmed On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making Models
title_short On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making Models
title_sort on parametric divergence measure of neutrosophic sets with its application in decision making models
url http://fs.unm.edu/NSS/OnParametricDivergence.pdf
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