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Multiple attribute dynamic decision making method based on some complex aggregation functions in CQROF setting
The q-rung Orthopair fuzzy set (QROFS) is one of the fuzzy structures which can introduce more fuzzy information than other fuzzy frames proposed by Ronald R. Yager. In this article, the dynamic multiple attribute decision making (DMADM) approach with complex q-rung Orthopair fuzzy (CQROF) informati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921712/ http://dx.doi.org/10.1007/s40314-022-01806-5 |
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author | Jana, Chiranjibe Pal, Madhumangal Liu, Peide |
author_facet | Jana, Chiranjibe Pal, Madhumangal Liu, Peide |
author_sort | Jana, Chiranjibe |
collection | PubMed |
description | The q-rung Orthopair fuzzy set (QROFS) is one of the fuzzy structures which can introduce more fuzzy information than other fuzzy frames proposed by Ronald R. Yager. In this article, the dynamic multiple attribute decision making (DMADM) approach with complex q-rung Orthopair fuzzy (CQROF) information has been introduced. The ideas of CQROF variable and uncertain CQROF variables are defined and introduced new dynamic weighted averaging (DWA) operators called dynamic complex q-rung Orthopair fuzzy weighted average (DCQROFWA) operator and uncertain dynamic complex q-rung Orthopair fuzzy weighted average (UDCQROFWA) operator. For the moment, a procedure has been developed based on DCQROFWA and CQROFWA operator to solve DMADM problems where all attribute information are used in complex q-rung Orthopair fuzzy numbers (CQROFNs) collected at distinct periods, and another procedure is developed based on UDCQROFWA and CIVQROFWA operators to solve uncertain DMADM problems for interval uncertainty in which all attribute information takes in the form of complex interval-valued q-rung Orthopair fuzzy numbers (CIVQROFNs) collected at distinct periods. Finally, a comprehensive comparative analysis has been made for the proposed approach for testing its applicability and efficiency by considering a numerical example. |
format | Online Article Text |
id | pubmed-8921712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-89217122022-03-15 Multiple attribute dynamic decision making method based on some complex aggregation functions in CQROF setting Jana, Chiranjibe Pal, Madhumangal Liu, Peide Comp. Appl. Math. Article The q-rung Orthopair fuzzy set (QROFS) is one of the fuzzy structures which can introduce more fuzzy information than other fuzzy frames proposed by Ronald R. Yager. In this article, the dynamic multiple attribute decision making (DMADM) approach with complex q-rung Orthopair fuzzy (CQROF) information has been introduced. The ideas of CQROF variable and uncertain CQROF variables are defined and introduced new dynamic weighted averaging (DWA) operators called dynamic complex q-rung Orthopair fuzzy weighted average (DCQROFWA) operator and uncertain dynamic complex q-rung Orthopair fuzzy weighted average (UDCQROFWA) operator. For the moment, a procedure has been developed based on DCQROFWA and CQROFWA operator to solve DMADM problems where all attribute information are used in complex q-rung Orthopair fuzzy numbers (CQROFNs) collected at distinct periods, and another procedure is developed based on UDCQROFWA and CIVQROFWA operators to solve uncertain DMADM problems for interval uncertainty in which all attribute information takes in the form of complex interval-valued q-rung Orthopair fuzzy numbers (CIVQROFNs) collected at distinct periods. Finally, a comprehensive comparative analysis has been made for the proposed approach for testing its applicability and efficiency by considering a numerical example. Springer International Publishing 2022-03-15 2022 /pmc/articles/PMC8921712/ http://dx.doi.org/10.1007/s40314-022-01806-5 Text en © The Author(s) under exclusive licence to Sociedade Brasileira de Matemática Aplicada e Computacional 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Jana, Chiranjibe Pal, Madhumangal Liu, Peide Multiple attribute dynamic decision making method based on some complex aggregation functions in CQROF setting |
title | Multiple attribute dynamic decision making method based on some complex aggregation functions in CQROF setting |
title_full | Multiple attribute dynamic decision making method based on some complex aggregation functions in CQROF setting |
title_fullStr | Multiple attribute dynamic decision making method based on some complex aggregation functions in CQROF setting |
title_full_unstemmed | Multiple attribute dynamic decision making method based on some complex aggregation functions in CQROF setting |
title_short | Multiple attribute dynamic decision making method based on some complex aggregation functions in CQROF setting |
title_sort | multiple attribute dynamic decision making method based on some complex aggregation functions in cqrof setting |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921712/ http://dx.doi.org/10.1007/s40314-022-01806-5 |
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