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Revisado por pares
Typical Hesitant Fuzzy Negations
2014; Wiley; Volume: 29; Issue: 6 Linguagem: Italiano
10.1002/int.21655
ISSN1098-111X
AutoresBenjamín Bedregal, Regivan Santiago, Humberto Bustince, Daniel Paternain, Renata Reiser,
Tópico(s)Rough Sets and Fuzzy Logic
ResumoInternational Journal of Intelligent SystemsVolume 29, Issue 6 p. 525-543 Research Article Typical Hesitant Fuzzy Negations Benjamin Bedregal, Corresponding Author Benjamin Bedregal Departamento de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte, Natal, BrazilAuthor to whom all correspondence should be addressed; e-mail: bedregal@dimap.ufrn.br.Search for more papers by this authorRegivan H.N. Santiago, Regivan H.N. Santiago Departamento de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte, Natal, BrazilSearch for more papers by this authorHumberto Bustince, Humberto Bustince Departamento de Automática y Computación, Universidad Pública de Navarra, Pamplona, SpainSearch for more papers by this authorDaniel Paternain, Daniel Paternain Departamento de Automática y Computación, Universidad Pública de Navarra, Pamplona, SpainSearch for more papers by this authorRenata Reiser, Renata Reiser Centro de Desenvolvimento Tecnológico, Universidade Federal de Pelotas, Pelotas, BrazilSearch for more papers by this author Benjamin Bedregal, Corresponding Author Benjamin Bedregal Departamento de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte, Natal, BrazilAuthor to whom all correspondence should be addressed; e-mail: bedregal@dimap.ufrn.br.Search for more papers by this authorRegivan H.N. Santiago, Regivan H.N. Santiago Departamento de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte, Natal, BrazilSearch for more papers by this authorHumberto Bustince, Humberto Bustince Departamento de Automática y Computación, Universidad Pública de Navarra, Pamplona, SpainSearch for more papers by this authorDaniel Paternain, Daniel Paternain Departamento de Automática y Computación, Universidad Pública de Navarra, Pamplona, SpainSearch for more papers by this authorRenata Reiser, Renata Reiser Centro de Desenvolvimento Tecnológico, Universidade Federal de Pelotas, Pelotas, BrazilSearch for more papers by this author First published: 18 April 2014 https://doi.org/10.1002/int.21655Citations: 33Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Since the seminal paper of fuzzy set theory by Zadeh in 1965, many extensions have been proposed to overcome the difficulty for assigning the membership degrees. In recent years, a new extension, the hesitant fuzzy sets, has attracted a lot of interest due to its usefulness to handle those problems in which it is difficult to provide accurately a single membership value; since for hesitant sets, membership values are given by a whole set of values. On the other hand, since fuzzy negations have an important role in applications as well as in the theoretical approach to of fuzzy logics, it is important to study an extension of the concept of fuzzy negation for hesitant fuzzy degrees (elements). In this paper, we propose such a definition and we study some of the main properties of this new concept. Citing Literature Volume29, Issue6Special Issue: Hesitant Fuzzy Sets: An Emerging Tool in Decision MakingJune 2014Pages 525-543 RelatedInformation
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