Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm

Autores
Nurcahyo, Gunadi W.; Shamsuddin, Siti Mariyam; Alias, Rose Alinda; Noor Md Sap, Mohd
Año de publicación
2003
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The uncertain data are represented as linguistic values which are fully dependent on the users preference. This paper focuses on the selection of the Defuzzification method to discover the most appropriate method for obtaining crisp values which represent uncertain data. We also present a step by step evaluation showing that the fuzzy-based parameters are capable to represent uncertain data replacing the use of exact data which common route selection algorithms usually use.
Facultad de Informática
Materia
Ciencias Informáticas
Fuzzy set
Algorithms
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9463
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/9463
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithmNurcahyo, Gunadi W.Shamsuddin, Siti MariyamAlias, Rose AlindaNoor Md Sap, MohdCiencias InformáticasFuzzy setAlgorithmsWe present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The uncertain data are represented as linguistic values which are fully dependent on the users preference. This paper focuses on the selection of the Defuzzification method to discover the most appropriate method for obtaining crisp values which represent uncertain data. We also present a step by step evaluation showing that the fuzzy-based parameters are capable to represent uncertain data replacing the use of exact data which common route selection algorithms usually use.Facultad de Informática2003-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf22-28http://sedici.unlp.edu.ar/handle/10915/9463enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct03-4.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:50:40Zoai:sedici.unlp.edu.ar:10915/9463Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:50:40.449SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
spellingShingle Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
Nurcahyo, Gunadi W.
Ciencias Informáticas
Fuzzy set
Algorithms
title_short Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title_full Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title_fullStr Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title_full_unstemmed Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
title_sort Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm
dc.creator.none.fl_str_mv Nurcahyo, Gunadi W.
Shamsuddin, Siti Mariyam
Alias, Rose Alinda
Noor Md Sap, Mohd
author Nurcahyo, Gunadi W.
author_facet Nurcahyo, Gunadi W.
Shamsuddin, Siti Mariyam
Alias, Rose Alinda
Noor Md Sap, Mohd
author_role author
author2 Shamsuddin, Siti Mariyam
Alias, Rose Alinda
Noor Md Sap, Mohd
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Fuzzy set
Algorithms
topic Ciencias Informáticas
Fuzzy set
Algorithms
dc.description.none.fl_txt_mv We present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The uncertain data are represented as linguistic values which are fully dependent on the users preference. This paper focuses on the selection of the Defuzzification method to discover the most appropriate method for obtaining crisp values which represent uncertain data. We also present a step by step evaluation showing that the fuzzy-based parameters are capable to represent uncertain data replacing the use of exact data which common route selection algorithms usually use.
Facultad de Informática
description We present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The uncertain data are represented as linguistic values which are fully dependent on the users preference. This paper focuses on the selection of the Defuzzification method to discover the most appropriate method for obtaining crisp values which represent uncertain data. We also present a step by step evaluation showing that the fuzzy-based parameters are capable to represent uncertain data replacing the use of exact data which common route selection algorithms usually use.
publishDate 2003
dc.date.none.fl_str_mv 2003-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/9463
url http://sedici.unlp.edu.ar/handle/10915/9463
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
22-28
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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