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On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection
The present communication introduces a new discriminant measure coined as R-norm q-rung picture fuzzy discriminant information measure which is more generalized in nature and has the capability to handle more flexibility inherited in the inexact information. The notion of q-rung picture fuzzy set (q...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257187/ https://www.ncbi.nlm.nih.gov/pubmed/37360318 http://dx.doi.org/10.1007/s41870-023-01304-9 |
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author | Dhumras, Himanshu Bajaj, Rakesh K. Shukla, Varun |
author_facet | Dhumras, Himanshu Bajaj, Rakesh K. Shukla, Varun |
author_sort | Dhumras, Himanshu |
collection | PubMed |
description | The present communication introduces a new discriminant measure coined as R-norm q-rung picture fuzzy discriminant information measure which is more generalized in nature and has the capability to handle more flexibility inherited in the inexact information. The notion of q-rung picture fuzzy set (q-RPFS) has an integrated advantage of picture fuzzy set and q-rung orthopair fuzzy set with flexibility of qth level relations. The proposed parametric measure is then applied in the conventional “technique for order preference by similarity to the ideal solution (TOPSIS) method” for solving a green supplier selection problem. The numerical illustration to exhibit the proposed methodology for the green supplier selection problem has been presented in an empirical form to establish the consistency of the model. Also, the advantageous features of the proposed scheme in the setup of impreciseness have been discussed. |
format | Online Article Text |
id | pubmed-10257187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-102571872023-06-12 On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection Dhumras, Himanshu Bajaj, Rakesh K. Shukla, Varun Int J Inf Technol Original Research The present communication introduces a new discriminant measure coined as R-norm q-rung picture fuzzy discriminant information measure which is more generalized in nature and has the capability to handle more flexibility inherited in the inexact information. The notion of q-rung picture fuzzy set (q-RPFS) has an integrated advantage of picture fuzzy set and q-rung orthopair fuzzy set with flexibility of qth level relations. The proposed parametric measure is then applied in the conventional “technique for order preference by similarity to the ideal solution (TOPSIS) method” for solving a green supplier selection problem. The numerical illustration to exhibit the proposed methodology for the green supplier selection problem has been presented in an empirical form to establish the consistency of the model. Also, the advantageous features of the proposed scheme in the setup of impreciseness have been discussed. Springer Nature Singapore 2023-06-10 /pmc/articles/PMC10257187/ /pubmed/37360318 http://dx.doi.org/10.1007/s41870-023-01304-9 Text en © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 | Original Research Dhumras, Himanshu Bajaj, Rakesh K. Shukla, Varun On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection |
title | On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection |
title_full | On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection |
title_fullStr | On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection |
title_full_unstemmed | On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection |
title_short | On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection |
title_sort | on utilizing modified topsis with r-norm q-rung picture fuzzy information measure green supplier selection |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257187/ https://www.ncbi.nlm.nih.gov/pubmed/37360318 http://dx.doi.org/10.1007/s41870-023-01304-9 |
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