Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application

The purpose of MCDM is to determine the best option amongst all the probable options. Due to linguistic assessments, the traditional crisp techniques are not good to solve MCDM problems. This paper deals with the generalization of TOPSIS for neutrosophic hypersoft set primarily based issues explaine...

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Main Authors: Muhammad Saqlain, Muhammad Saeed, Muhammad Rayees Ahmad, F. Smarandache
Format: Article
Language:English
Published: University of New Mexico 2019-11-01
Series:Neutrosophic Sets and Systems
Online Access:http://fs.unm.edu/NSS/Generalization%20of%20TOPSIS%20for%20Neutrosophic%20Hypersoft.pdf
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author Muhammad Saqlain
Muhammad Saeed
Muhammad Rayees Ahmad
F. Smarandache
author_facet Muhammad Saqlain
Muhammad Saeed
Muhammad Rayees Ahmad
F. Smarandache
author_sort Muhammad Saqlain
collection DOAJ
description The purpose of MCDM is to determine the best option amongst all the probable options. Due to linguistic assessments, the traditional crisp techniques are not good to solve MCDM problems. This paper deals with the generalization of TOPSIS for neutrosophic hypersoft set primarily based issues explained in section 3. In section 4, the proposed technique is implemented. The proposed technique is easy to implement, and precise and sensible for fixing the MCDM problem with multiple-valued neutrosophic data. In the end, the applicability of the developed method, the problem of parking on which decision maker has normally vague and imprecise knowledge is used. It seems that the outcomes of these examinations are terrific.
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spelling doaj.art-569ff3b60c9d4aa9a33e0a456e9f66362022-12-22T02:59:09ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2019-11-012713113710.5281/zenodo.3275533Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its ApplicationMuhammad SaqlainMuhammad SaeedMuhammad Rayees AhmadF. SmarandacheThe purpose of MCDM is to determine the best option amongst all the probable options. Due to linguistic assessments, the traditional crisp techniques are not good to solve MCDM problems. This paper deals with the generalization of TOPSIS for neutrosophic hypersoft set primarily based issues explained in section 3. In section 4, the proposed technique is implemented. The proposed technique is easy to implement, and precise and sensible for fixing the MCDM problem with multiple-valued neutrosophic data. In the end, the applicability of the developed method, the problem of parking on which decision maker has normally vague and imprecise knowledge is used. It seems that the outcomes of these examinations are terrific.http://fs.unm.edu/NSS/Generalization%20of%20TOPSIS%20for%20Neutrosophic%20Hypersoft.pdf
spellingShingle Muhammad Saqlain
Muhammad Saeed
Muhammad Rayees Ahmad
F. Smarandache
Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application
Neutrosophic Sets and Systems
title Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application
title_full Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application
title_fullStr Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application
title_full_unstemmed Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application
title_short Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application
title_sort generalization of topsis for neutrosophic hypersoft set using accuracy function and its application
url http://fs.unm.edu/NSS/Generalization%20of%20TOPSIS%20for%20Neutrosophic%20Hypersoft.pdf
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