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Fuzzy incomplete linguistic preference relations
The effectiveness of preference relations in modeling decision-making processes makes it one of the most common representations of information use for solving decision-making problems. This research presents the fuzzy incomplete linguistic preference relations (Fuzzy InLinPreRa) approach as evaluate...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756748/ https://www.ncbi.nlm.nih.gov/pubmed/36540663 http://dx.doi.org/10.1007/s00500-022-07701-9 |
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author | Wang, Tien-Chin Huang, Shu-Li |
author_facet | Wang, Tien-Chin Huang, Shu-Li |
author_sort | Wang, Tien-Chin |
collection | PubMed |
description | The effectiveness of preference relations in modeling decision-making processes makes it one of the most common representations of information use for solving decision-making problems. This research presents the fuzzy incomplete linguistic preference relations (Fuzzy InLinPreRa) approach as evaluated by decision-makers dealing with increasing complexity and uncertain economics, as well as social and managerial problems. By using Fuzzy InLinPreRa, the consistency measurements of decision-makers’ evaluations will provide more accurate and reasonable solutions, allowing decision-makers to consider the objective weights of both the criteria and experts. An empirical example of the measurement of brand personality is included herein to demonstrate the feasibility of this method. |
format | Online Article Text |
id | pubmed-9756748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-97567482022-12-16 Fuzzy incomplete linguistic preference relations Wang, Tien-Chin Huang, Shu-Li Soft comput Fuzzy Systems and Their Mathematics The effectiveness of preference relations in modeling decision-making processes makes it one of the most common representations of information use for solving decision-making problems. This research presents the fuzzy incomplete linguistic preference relations (Fuzzy InLinPreRa) approach as evaluated by decision-makers dealing with increasing complexity and uncertain economics, as well as social and managerial problems. By using Fuzzy InLinPreRa, the consistency measurements of decision-makers’ evaluations will provide more accurate and reasonable solutions, allowing decision-makers to consider the objective weights of both the criteria and experts. An empirical example of the measurement of brand personality is included herein to demonstrate the feasibility of this method. Springer Berlin Heidelberg 2022-12-16 2023 /pmc/articles/PMC9756748/ /pubmed/36540663 http://dx.doi.org/10.1007/s00500-022-07701-9 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, 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 | Fuzzy Systems and Their Mathematics Wang, Tien-Chin Huang, Shu-Li Fuzzy incomplete linguistic preference relations |
title | Fuzzy incomplete linguistic preference relations |
title_full | Fuzzy incomplete linguistic preference relations |
title_fullStr | Fuzzy incomplete linguistic preference relations |
title_full_unstemmed | Fuzzy incomplete linguistic preference relations |
title_short | Fuzzy incomplete linguistic preference relations |
title_sort | fuzzy incomplete linguistic preference relations |
topic | Fuzzy Systems and Their Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756748/ https://www.ncbi.nlm.nih.gov/pubmed/36540663 http://dx.doi.org/10.1007/s00500-022-07701-9 |
work_keys_str_mv | AT wangtienchin fuzzyincompletelinguisticpreferencerelations AT huangshuli fuzzyincompletelinguisticpreferencerelations |