A New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making

Ranking of interval-valued intuitionistic fuzzy numbers (IVIFNs) is an important task for solving real-life Decision-Making problems. It is a potential area of research that has attracted the researchers working in fuzzy mathematics. Researchers worldwide are looking for a unique ranking principle t...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Jeevaraj Selvaraj, Abhijit Majumdar
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/ca162a70bff44340b3625f2429dc6df4
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:ca162a70bff44340b3625f2429dc6df4
record_format dspace
spelling oai:doaj.org-article:ca162a70bff44340b3625f2429dc6df42021-11-11T18:13:38ZA New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making10.3390/math92126472227-7390https://doaj.org/article/ca162a70bff44340b3625f2429dc6df42021-10-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2647https://doaj.org/toc/2227-7390Ranking of interval-valued intuitionistic fuzzy numbers (IVIFNs) is an important task for solving real-life Decision-Making problems. It is a potential area of research that has attracted the researchers working in fuzzy mathematics. Researchers worldwide are looking for a unique ranking principle that can be used to discriminate any two arbitrary IVIFNs. Various ranking functions on the set of IVIFNs have been proposed. However, every method has some drawbacks in ranking arbitrary IVIFNs due to the partial ordering. This paper introduces a new ranking principle for comparing two arbitrary IVIFNs by defining a new score function based on the non-membership value of IVIFNs. In this paper, firstly, the limitations of a few well-known and existing ranking methods for IVIFNs have been discussed. Secondly, a new non-membership score on the class of IVIFNs has been introduced. Thirdly, the superiority of the proposed score function in ranking arbitrary IVIFNs over the existing methods has been demonstrated. Finally, the proposed non-membership score function has been utilized in interval-valued intuitionistic fuzzy TOPSIS (IVIF-TOPSIS) using numerical examples.Jeevaraj SelvarajAbhijit MajumdarMDPI AGarticleinterval-valued intuitionistic fuzzy numbernon-membership score functionMCDMIVIF-TOPSISIVIF-MCDMdefuzzificationMathematicsQA1-939ENMathematics, Vol 9, Iss 2647, p 2647 (2021)
institution DOAJ
collection DOAJ
language EN
topic interval-valued intuitionistic fuzzy number
non-membership score function
MCDM
IVIF-TOPSIS
IVIF-MCDM
defuzzification
Mathematics
QA1-939
spellingShingle interval-valued intuitionistic fuzzy number
non-membership score function
MCDM
IVIF-TOPSIS
IVIF-MCDM
defuzzification
Mathematics
QA1-939
Jeevaraj Selvaraj
Abhijit Majumdar
A New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making
description Ranking of interval-valued intuitionistic fuzzy numbers (IVIFNs) is an important task for solving real-life Decision-Making problems. It is a potential area of research that has attracted the researchers working in fuzzy mathematics. Researchers worldwide are looking for a unique ranking principle that can be used to discriminate any two arbitrary IVIFNs. Various ranking functions on the set of IVIFNs have been proposed. However, every method has some drawbacks in ranking arbitrary IVIFNs due to the partial ordering. This paper introduces a new ranking principle for comparing two arbitrary IVIFNs by defining a new score function based on the non-membership value of IVIFNs. In this paper, firstly, the limitations of a few well-known and existing ranking methods for IVIFNs have been discussed. Secondly, a new non-membership score on the class of IVIFNs has been introduced. Thirdly, the superiority of the proposed score function in ranking arbitrary IVIFNs over the existing methods has been demonstrated. Finally, the proposed non-membership score function has been utilized in interval-valued intuitionistic fuzzy TOPSIS (IVIF-TOPSIS) using numerical examples.
format article
author Jeevaraj Selvaraj
Abhijit Majumdar
author_facet Jeevaraj Selvaraj
Abhijit Majumdar
author_sort Jeevaraj Selvaraj
title A New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making
title_short A New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making
title_full A New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making
title_fullStr A New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making
title_full_unstemmed A New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making
title_sort new ranking method for interval-valued intuitionistic fuzzy numbers and its application in multi-criteria decision-making
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/ca162a70bff44340b3625f2429dc6df4
work_keys_str_mv AT jeevarajselvaraj anewrankingmethodforintervalvaluedintuitionisticfuzzynumbersanditsapplicationinmulticriteriadecisionmaking
AT abhijitmajumdar anewrankingmethodforintervalvaluedintuitionisticfuzzynumbersanditsapplicationinmulticriteriadecisionmaking
AT jeevarajselvaraj newrankingmethodforintervalvaluedintuitionisticfuzzynumbersanditsapplicationinmulticriteriadecisionmaking
AT abhijitmajumdar newrankingmethodforintervalvaluedintuitionisticfuzzynumbersanditsapplicationinmulticriteriadecisionmaking
_version_ 1718431910921764864