Generalized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operators

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Silva, Lidiane Costa da
Orientador(a): Reiser, Renata Hax Sander
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Pelotas
Programa de Pós-Graduação: Programa de Pós-Graduação em Computação
Departamento: Centro de Desenvolvimento Tecnológico
País: Brasil
Palavras-chave em Português:
Área do conhecimento CNPq:
Link de acesso: http://guaiaca.ufpel.edu.br/handle/prefix/8522
Resumo: Despite its widespread research in applied areas, recognized limitations of Fuzzy Logic (FL) justify the search for higher levels of abstraction, using extensions such as type-2 fuzzy logic (T2FL) for the representation of information in fuzzy reasoning systems. This proposal considers the two intersection areas of T2FL, the intuitionist fuzzy logic (A-IFL) and the interval-valued fuzzy logic (IvFL). The interval-valued intuitionist fuzzy logic introduced by Atanassov in 1969 (A-IvIFL) considers both the imprecision of data in the membership function and the hesitation in determining its complementary relation - the non-membership functions. In A-IvIFL approach, the principles of A-IFL are preserved and the forms of data representation are expanded, adding not only the hesitation information related to experts with respect to non necessarily complementary relations but also the imprecision information provided by the interval-valued intuitionistic fuzzy index. Firstly, we consider the study of main properties verified by the axiomatic concept of hesitation index names - the generalized Atanassov’s intuitionistic fuzzy index (A-GIFIx), and corresponding constructive methodology based on fuzzy implications. And, just in such context, this work introduces an extension of methodology which is able to preserve properties by making use of dual and conjugate operators. In addition, as the main contribution, the generalized Atanassov’s interval-valued intuitionist fuzzy index (A-GIvIFIx) is discussed, including its axiomatic concept and related constructive methodology characterized in terms of interval-valued fuzzy implications, preserving main properties of an A-GIFIx. This work also presents new ways of obtaining A-GIvIFIx via dual and conjugated constructions, by the action of negation operators and automorphisms, respectively. Among the several applications of A-GIvIFIx as similarity, correlation and distance measures, we introduce a methodology to obtain the entropy via A-GIvIFIx contributing with multi-attribute systems based on T2FL. The application of the concept of admissible linear orders makes the comparison between interval results possible.
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spelling 2022-07-15T16:59:05Z2022-07-15T16:59:05Z2018-05-14SILVA, Lidiane Costa da. Generalized Atanassov’s Interval-valued Intuitionistic Fuzzy Index - Construction of Atanassov’s Interval-valued Fuzzy Entropy from Interval-Valued Fuzzy Implication Operators. 2018. 83 f. Dissertation (Masters in Computer Science ) – Post Graduate Program in Computation, Center of Tecnological Development, Universidade Federal de Pelotas, Pelotas, 2018.http://guaiaca.ufpel.edu.br/handle/prefix/8522Despite its widespread research in applied areas, recognized limitations of Fuzzy Logic (FL) justify the search for higher levels of abstraction, using extensions such as type-2 fuzzy logic (T2FL) for the representation of information in fuzzy reasoning systems. This proposal considers the two intersection areas of T2FL, the intuitionist fuzzy logic (A-IFL) and the interval-valued fuzzy logic (IvFL). The interval-valued intuitionist fuzzy logic introduced by Atanassov in 1969 (A-IvIFL) considers both the imprecision of data in the membership function and the hesitation in determining its complementary relation - the non-membership functions. In A-IvIFL approach, the principles of A-IFL are preserved and the forms of data representation are expanded, adding not only the hesitation information related to experts with respect to non necessarily complementary relations but also the imprecision information provided by the interval-valued intuitionistic fuzzy index. Firstly, we consider the study of main properties verified by the axiomatic concept of hesitation index names - the generalized Atanassov’s intuitionistic fuzzy index (A-GIFIx), and corresponding constructive methodology based on fuzzy implications. And, just in such context, this work introduces an extension of methodology which is able to preserve properties by making use of dual and conjugate operators. In addition, as the main contribution, the generalized Atanassov’s interval-valued intuitionist fuzzy index (A-GIvIFIx) is discussed, including its axiomatic concept and related constructive methodology characterized in terms of interval-valued fuzzy implications, preserving main properties of an A-GIFIx. This work also presents new ways of obtaining A-GIvIFIx via dual and conjugated constructions, by the action of negation operators and automorphisms, respectively. Among the several applications of A-GIvIFIx as similarity, correlation and distance measures, we introduce a methodology to obtain the entropy via A-GIvIFIx contributing with multi-attribute systems based on T2FL. The application of the concept of admissible linear orders makes the comparison between interval results possible.Apesar de abrangente, reconhecidas limitações da Lógica Fuzzy justificam a busca de níveis mais elevados de abstração, utilizando extensões como a lógica fuzzy tipo-2 (T2FL) para a representação de informações em sistemas de raciocínio fuzzy. Esta proposta considera a interseção de duas classes da T2FL, a lógica fuzzy intuicionista e a lógica fuzzy valorada intervalarmente. A lógica fuzzy intuicionista valorada intervalarmente introduzida por Atanassov em 1969 considera tanto a imprecisão de dados na função de pertinência quanto a hesitação na determinação de sua relação complementar - a função de não-pertiência. Nesta abordagem, preservam-se os princípios da lógica fuzzy intuicionista e ampliam-se as formas de representação, agregando à informação da imprecisão provida pelo índice fuzzy intervalar também a informação da hesitação de especialistas quanto aos graus de pertinência em relações não necessariamente complementares. Considera-se primeiramente o estudo das propriedades verificadas pela axiomatização do conceito de índice de hesitação proposto por Atanassov - o índice fuzzy intuicionista generalizado (A-GIFIx), e a correspondente metodologia de construção baseada em implicações fuzzy. E, já neste contexto, o trabalho introduz uma discussão de propriedades preservadas por operadores duais e de conjugação e apresenta uma extensão da referida metodologia. E, como principal contribuição este trabalho introduz a generalização do índice fuzzy intuicionista valorado intervalarmente (A-GIvIFIx), sua conceituação axiomática, uma metodologia de construção caracterizada em termos de implicações fuzzy valorados intervalarmente e ainda estuda condições que garantam a preservação das principais propriedades do A-GIFIx pela ação operadores duais e de conjugação. Este trabalho apresenta ainda novas formas de obtenção do A-GIvIFIx via construções duais e conjugadas, pela ação de operadores de negação e de automorfismos, respectivamente. Dentre as diversas aplicações do A-GIvIFIx como relações de medidas de similaridade, correlação e distâncias, estes trabalho introduz novas metodologias de obtenção da entropia via A-GIvIFIx contribuindo com sistemas multi-atributos baseados em T2FL. A aplicação do conceito de ordens lineares admissíveis viabiliza a comparação entre resultados intervalares.Sem bolsaporUniversidade Federal de PelotasPrograma de Pós-Graduação em ComputaçãoUFPelBrasilCentro de Desenvolvimento TecnológicoCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOComputaçãoAtanassov’s interval-valued intuitionistic fuzzy logicIntuitionistic fuzzy indexFuzzy entropyDualityLógica fuzzy intuicionista valorada intervalarmenteÍndice fuzzy intuicionistaEntropia fuzzyDualidadeGeneralized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operatorsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisYamin, Adenauer CorrêaReiser, Renata Hax SanderSilva, Lidiane Costa dainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFPel - Guaiacainstname:Universidade Federal de Pelotas (UFPEL)instacron:UFPELTEXTDissertacao_Lidiane_Silva.pdf.txtDissertacao_Lidiane_Silva.pdf.txtExtracted texttext/plain144574http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/8522/6/Dissertacao_Lidiane_Silva.pdf.txtde74b0bc7c18ed69f43da754d65a63c6MD56open accessTHUMBNAILDissertacao_Lidiane_Silva.pdf.jpgDissertacao_Lidiane_Silva.pdf.jpgGenerated Thumbnailimage/jpeg1243http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/8522/7/Dissertacao_Lidiane_Silva.pdf.jpg89d3b7d0a00af887609bc4689d085844MD57open accessORIGINALDissertacao_Lidiane_Silva.pdfDissertacao_Lidiane_Silva.pdfapplication/pdf536856http://guaiaca.ufpel.edu.br/xmlui/bitstream/prefix/8522/1/Dissertacao_Lidiane_Silva.pdffbcfa8617dcd28e2e00baca0cbfdf033MD51open accessCC-LICENSElicense_urllicense_urltext/plain; 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dc.title.pt_BR.fl_str_mv Generalized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operators
title Generalized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operators
spellingShingle Generalized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operators
Silva, Lidiane Costa da
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
Computação
Atanassov’s interval-valued intuitionistic fuzzy logic
Intuitionistic fuzzy index
Fuzzy entropy
Duality
Lógica fuzzy intuicionista valorada intervalarmente
Índice fuzzy intuicionista
Entropia fuzzy
Dualidade
title_short Generalized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operators
title_full Generalized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operators
title_fullStr Generalized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operators
title_full_unstemmed Generalized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operators
title_sort Generalized atanassov’s interval-valued intuitionistic Fuzzy index: construction of atanassov’s interval-valued Fuzzy entropy from interval-valued Fuzzy implication operators
author Silva, Lidiane Costa da
author_facet Silva, Lidiane Costa da
author_role author
dc.contributor.advisor-co1.fl_str_mv Yamin, Adenauer Corrêa
dc.contributor.advisor1.fl_str_mv Reiser, Renata Hax Sander
dc.contributor.author.fl_str_mv Silva, Lidiane Costa da
contributor_str_mv Yamin, Adenauer Corrêa
Reiser, Renata Hax Sander
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
topic CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
Computação
Atanassov’s interval-valued intuitionistic fuzzy logic
Intuitionistic fuzzy index
Fuzzy entropy
Duality
Lógica fuzzy intuicionista valorada intervalarmente
Índice fuzzy intuicionista
Entropia fuzzy
Dualidade
dc.subject.por.fl_str_mv Computação
Atanassov’s interval-valued intuitionistic fuzzy logic
Intuitionistic fuzzy index
Fuzzy entropy
Duality
Lógica fuzzy intuicionista valorada intervalarmente
Índice fuzzy intuicionista
Entropia fuzzy
Dualidade
description Despite its widespread research in applied areas, recognized limitations of Fuzzy Logic (FL) justify the search for higher levels of abstraction, using extensions such as type-2 fuzzy logic (T2FL) for the representation of information in fuzzy reasoning systems. This proposal considers the two intersection areas of T2FL, the intuitionist fuzzy logic (A-IFL) and the interval-valued fuzzy logic (IvFL). The interval-valued intuitionist fuzzy logic introduced by Atanassov in 1969 (A-IvIFL) considers both the imprecision of data in the membership function and the hesitation in determining its complementary relation - the non-membership functions. In A-IvIFL approach, the principles of A-IFL are preserved and the forms of data representation are expanded, adding not only the hesitation information related to experts with respect to non necessarily complementary relations but also the imprecision information provided by the interval-valued intuitionistic fuzzy index. Firstly, we consider the study of main properties verified by the axiomatic concept of hesitation index names - the generalized Atanassov’s intuitionistic fuzzy index (A-GIFIx), and corresponding constructive methodology based on fuzzy implications. And, just in such context, this work introduces an extension of methodology which is able to preserve properties by making use of dual and conjugate operators. In addition, as the main contribution, the generalized Atanassov’s interval-valued intuitionist fuzzy index (A-GIvIFIx) is discussed, including its axiomatic concept and related constructive methodology characterized in terms of interval-valued fuzzy implications, preserving main properties of an A-GIFIx. This work also presents new ways of obtaining A-GIvIFIx via dual and conjugated constructions, by the action of negation operators and automorphisms, respectively. Among the several applications of A-GIvIFIx as similarity, correlation and distance measures, we introduce a methodology to obtain the entropy via A-GIvIFIx contributing with multi-attribute systems based on T2FL. The application of the concept of admissible linear orders makes the comparison between interval results possible.
publishDate 2018
dc.date.issued.fl_str_mv 2018-05-14
dc.date.accessioned.fl_str_mv 2022-07-15T16:59:05Z
dc.date.available.fl_str_mv 2022-07-15T16:59:05Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.citation.fl_str_mv SILVA, Lidiane Costa da. Generalized Atanassov’s Interval-valued Intuitionistic Fuzzy Index - Construction of Atanassov’s Interval-valued Fuzzy Entropy from Interval-Valued Fuzzy Implication Operators. 2018. 83 f. Dissertation (Masters in Computer Science ) – Post Graduate Program in Computation, Center of Tecnological Development, Universidade Federal de Pelotas, Pelotas, 2018.
dc.identifier.uri.fl_str_mv http://guaiaca.ufpel.edu.br/handle/prefix/8522
identifier_str_mv SILVA, Lidiane Costa da. Generalized Atanassov’s Interval-valued Intuitionistic Fuzzy Index - Construction of Atanassov’s Interval-valued Fuzzy Entropy from Interval-Valued Fuzzy Implication Operators. 2018. 83 f. Dissertation (Masters in Computer Science ) – Post Graduate Program in Computation, Center of Tecnological Development, Universidade Federal de Pelotas, Pelotas, 2018.
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