Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan

In Pakistan, the assessment of road safety measures within road safety management systems is commonly seen as the most deficient part. Accident prediction models are essential for road authorities, road designers, and road safety specialists. These models facilitate the examination of safety concern...

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Autores:: Naz, Sumera
Shafiq, Aqsa
Aziz Butt, Shariq
Mazhar, Shahzra
Diaz Martínez, Jorge
De-La-Hoz-Franco, Emiro

Tipo de recurso:: Article of investigation

Fecha de publicación:: 2024

Institución:: Corporación Universidad de la Costa

Repositorio:: REDICUC - Repositorio CUC

Idioma:: eng

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dc.title.eng.fl_str_mv	Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan
title	Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan
spellingShingle	Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan 2-Tuple linguistic q-rung orthopair fuzzy set Weighted power average operator IDOCRIW QUALIFLEX Accident prediction models in road safety management
title_short	Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan
title_full	Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan
title_fullStr	Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan
title_full_unstemmed	Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan
title_sort	Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan
dc.creator.fl_str_mv	Naz, Sumera Shafiq, Aqsa Aziz Butt, Shariq Mazhar, Shahzra Diaz Martínez, Jorge De-La-Hoz-Franco, Emiro
dc.contributor.author.none.fl_str_mv	Naz, Sumera Shafiq, Aqsa Aziz Butt, Shariq Mazhar, Shahzra Diaz Martínez, Jorge De-La-Hoz-Franco, Emiro
dc.subject.proposal.eng.fl_str_mv	2-Tuple linguistic q-rung orthopair fuzzy set Weighted power average operator IDOCRIW QUALIFLEX Accident prediction models in road safety management
topic	2-Tuple linguistic q-rung orthopair fuzzy set Weighted power average operator IDOCRIW QUALIFLEX Accident prediction models in road safety management
description	In Pakistan, the assessment of road safety measures within road safety management systems is commonly seen as the most deficient part. Accident prediction models are essential for road authorities, road designers, and road safety specialists. These models facilitate the examination of safety concerns, the identification of safety improvements, and the projection of the potential impact of these modifications in terms of collision reduction. In the context described above, the goal of this paper is to utilize the 2-tuple linguistic q-rung orthopair fuzzy set (2TLq-ROFS), a new and useful decision tool with a strong ability to address uncertain or imprecise information in practical decision-making processes. In addition, for dealing with the multi-attribute group decision-making problems in road safety management, this paper proposes a new 2TLq-ROF integrated determination of objective criteria weights (IDOCRIW)-the qualitative flexible multiple criteria (QUALIFLEX) decision analysis method with a weighted power average (WPA) operator based on the 2TLq-ROF numbers. The IDOCRIW method is used to calculate the weight of attributes and the QUALIFLEX method is used to rank the options. To show the viability and superiority of the proposed approach, we also perform a case study on the evaluation of accident prediction models in road safety management. Finally, the results of the experiments and comparisons with existing methods are used to explain the benefits and superiority of the suggested approach. The findings of this study show that the proposed approach is more practical and compatible with other existing approaches.
publishDate	2024
dc.date.accessioned.none.fl_str_mv	2024-06-27T12:37:32Z
dc.date.available.none.fl_str_mv	2024-06-27T12:37:32Z
dc.date.issued.none.fl_str_mv	2024-03-30
dc.type.spa.fl_str_mv	Artículo de revista
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dc.type.content.spa.fl_str_mv	Text
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dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.spa.fl_str_mv	Sumera Naz, Aqsa Shafiq, Shariq Aziz Butt, Shahzra Mazhar, Diaz Jorge Martinez, Emiro De la Hoz Franco, Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: An application of accident prediction models in Pakistan, Heliyon, Volume 10, Issue 6, 2024, e27669, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2024.e27669
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/11323/13087
dc.identifier.doi.none.fl_str_mv	10.1016/j.heliyon.2024.e27669
dc.identifier.eissn.spa.fl_str_mv	2405-8440
dc.identifier.instname.spa.fl_str_mv	Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv	REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.cuc.edu.co/
identifier_str_mv	Sumera Naz, Aqsa Shafiq, Shariq Aziz Butt, Shahzra Mazhar, Diaz Jorge Martinez, Emiro De la Hoz Franco, Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: An application of accident prediction models in Pakistan, Heliyon, Volume 10, Issue 6, 2024, e27669, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2024.e27669 10.1016/j.heliyon.2024.e27669 2405-8440 Corporación Universidad de la Costa REDICUC - Repositorio CUC
url	https://hdl.handle.net/11323/13087 https://repositorio.cuc.edu.co/
dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.ispartofjournal.spa.fl_str_mv	Heliyon
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spelling	Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2024 The Authors. Published by Elsevier Ltd.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Naz, SumeraShafiq, AqsaAziz Butt, ShariqMazhar, ShahzraDiaz Martínez, JorgeDe-La-Hoz-Franco, Emiro2024-06-27T12:37:32Z2024-06-27T12:37:32Z2024-03-30Sumera Naz, Aqsa Shafiq, Shariq Aziz Butt, Shahzra Mazhar, Diaz Jorge Martinez, Emiro De la Hoz Franco, Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: An application of accident prediction models in Pakistan, Heliyon, Volume 10, Issue 6, 2024, e27669, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2024.e27669https://hdl.handle.net/11323/1308710.1016/j.heliyon.2024.e276692405-8440Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In Pakistan, the assessment of road safety measures within road safety management systems is commonly seen as the most deficient part. Accident prediction models are essential for road authorities, road designers, and road safety specialists. These models facilitate the examination of safety concerns, the identification of safety improvements, and the projection of the potential impact of these modifications in terms of collision reduction. In the context described above, the goal of this paper is to utilize the 2-tuple linguistic q-rung orthopair fuzzy set (2TLq-ROFS), a new and useful decision tool with a strong ability to address uncertain or imprecise information in practical decision-making processes. In addition, for dealing with the multi-attribute group decision-making problems in road safety management, this paper proposes a new 2TLq-ROF integrated determination of objective criteria weights (IDOCRIW)-the qualitative flexible multiple criteria (QUALIFLEX) decision analysis method with a weighted power average (WPA) operator based on the 2TLq-ROF numbers. The IDOCRIW method is used to calculate the weight of attributes and the QUALIFLEX method is used to rank the options. To show the viability and superiority of the proposed approach, we also perform a case study on the evaluation of accident prediction models in road safety management. Finally, the results of the experiments and comparisons with existing methods are used to explain the benefits and superiority of the suggested approach. The findings of this study show that the proposed approach is more practical and compatible with other existing approaches.27 páginasapplication/pdfengElsevier B.V.Netherlandshttps://www.sciencedirect.com/science/article/pii/S2405844024037009?via%3DihubDecision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in PakistanArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85PakistanHeliyon[1] M. Deveci, D. Pamucar, I. Gokasar, M. Köppen, B.B. Gupta, T. Daim, Evaluation of metaverse traffic safety implementations using fuzzy Einstein based logarithmic methodology of additive weights and TOPSIS method, Technol. Forecast. Soc. Change 194 (2023) 122–681.[2] I. Benallou, A. Azmani, M. 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Chen, Measurement of road safety situation by CRITIC-TODIM-NMF: a lesson system of legislation and regulation for the United States, Measurement 220 (2023) 113–333.2716102-Tuple linguistic q-rung orthopair fuzzy setWeighted power average operatorIDOCRIWQUALIFLEXAccident prediction models in road safety managementPublicationORIGINALDecision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment.pdfDecision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment.pdfArtículoapplication/pdf1727580https://repositorio.cuc.edu.co/bitstreams/b080e7b1-5989-4ffb-987d-6ec0689b6bd5/downloadd70a6fc885913b9b84954cf5d94d06ffMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/ca8bf3cc-268b-43f7-928b-adf4e8f2f968/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTDecision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment.pdf.txtDecision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment.pdf.txtExtracted texttext/plain111209https://repositorio.cuc.edu.co/bitstreams/e36f8360-c341-4193-8586-aee4829f1ed8/downloaddba6c6771213292d3fd531f397423568MD53THUMBNAILDecision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment.pdf.jpgDecision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment.pdf.jpgGenerated Thumbnailimage/jpeg12973https://repositorio.cuc.edu.co/bitstreams/c44227d6-1d21-404e-a1d2-2da0a9ca167d/download5133154bbf2a3d5f092dbb1bf60bf238MD5411323/13087oai:repositorio.cuc.edu.co:11323/130872024-09-17 14:24:32.609https://creativecommons.org/licenses/by-nc-nd/4.0/© 2024 The Authors. Published by Elsevier Ltd.open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.


Decision analysis with IDOCRIW-QUALIFLEX approach in the 2TLq-ROF environment: an application of accident prediction models in Pakistan

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