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An Initial Study on Typical Hesitant (T,N)-Implication Functions
In the theory of Hesitant Fuzzy Sets (HFS), the membership degree of an element is characterized by a membership function which always returns a fuzzy set. This approach enables one to express, for example, the hesitance of several experts in the process of decision making based on multiple attribut...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274708/ http://dx.doi.org/10.1007/978-3-030-50143-3_58 |
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author | Matzenauer, Monica Reiser, Renata Santos, Helida Pinheiro, Jocivania Bedregal, Benjamin |
author_facet | Matzenauer, Monica Reiser, Renata Santos, Helida Pinheiro, Jocivania Bedregal, Benjamin |
author_sort | Matzenauer, Monica |
collection | PubMed |
description | In the theory of Hesitant Fuzzy Sets (HFS), the membership degree of an element is characterized by a membership function which always returns a fuzzy set. This approach enables one to express, for example, the hesitance of several experts in the process of decision making based on multiple attributes and multiple criteria. In this work, we focus on the study of a class of implication functions for typical hesitant fuzzy sets (THFS). The novelty of our proposal lies on the fact that it is the first time that an admissible order is used to define operators on hesitant fuzzy setting. Thus, we introduce typical hesitant fuzzy negations, typical hesitant t-norms and typical hesitant implication functions considering an admissible order, which allows the comparison of typical hesitant fuzzy elements with different cardinalities. |
format | Online Article Text |
id | pubmed-7274708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72747082020-06-08 An Initial Study on Typical Hesitant (T,N)-Implication Functions Matzenauer, Monica Reiser, Renata Santos, Helida Pinheiro, Jocivania Bedregal, Benjamin Information Processing and Management of Uncertainty in Knowledge-Based Systems Article In the theory of Hesitant Fuzzy Sets (HFS), the membership degree of an element is characterized by a membership function which always returns a fuzzy set. This approach enables one to express, for example, the hesitance of several experts in the process of decision making based on multiple attributes and multiple criteria. In this work, we focus on the study of a class of implication functions for typical hesitant fuzzy sets (THFS). The novelty of our proposal lies on the fact that it is the first time that an admissible order is used to define operators on hesitant fuzzy setting. Thus, we introduce typical hesitant fuzzy negations, typical hesitant t-norms and typical hesitant implication functions considering an admissible order, which allows the comparison of typical hesitant fuzzy elements with different cardinalities. 2020-05-15 /pmc/articles/PMC7274708/ http://dx.doi.org/10.1007/978-3-030-50143-3_58 Text en © Springer Nature Switzerland AG 2020 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 Matzenauer, Monica Reiser, Renata Santos, Helida Pinheiro, Jocivania Bedregal, Benjamin An Initial Study on Typical Hesitant (T,N)-Implication Functions |
title | An Initial Study on Typical Hesitant (T,N)-Implication Functions |
title_full | An Initial Study on Typical Hesitant (T,N)-Implication Functions |
title_fullStr | An Initial Study on Typical Hesitant (T,N)-Implication Functions |
title_full_unstemmed | An Initial Study on Typical Hesitant (T,N)-Implication Functions |
title_short | An Initial Study on Typical Hesitant (T,N)-Implication Functions |
title_sort | initial study on typical hesitant (t,n)-implication functions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274708/ http://dx.doi.org/10.1007/978-3-030-50143-3_58 |
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