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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...

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Detalles Bibliográficos
Autores principales: Wang, Tien-Chin, Huang, Shu-Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
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.
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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
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