Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future
This analysis examines the evaluation of alternatives using the AHP (Analytic Hierarchy Process) and FAHP (Fuzzy Analytic Hierarchy Process) methodologies in five scenarios (SC1 to SC5), with the aim of comparing the effectiveness of both approaches in incorporating environmental and technical crite...
- Autores:
-
Moreno Rocha, Christian Manuel
Arenas Buelvas, Daina
VEGA, ITZJAK
Peña Pacheco, Juan Francisco
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2025
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/14116
- Acceso en línea:
- https://hdl.handle.net/11323/14116
https://repositorio.cuc.edu.co/
- Palabra clave:
- Applied mathematics
Data handling
Database
Environmental and energy sustainability
Fuzzy logic
Selection of data
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
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Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future |
| title |
Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future |
| spellingShingle |
Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future Applied mathematics Data handling Database Environmental and energy sustainability Fuzzy logic Selection of data |
| title_short |
Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future |
| title_full |
Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future |
| title_fullStr |
Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future |
| title_full_unstemmed |
Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future |
| title_sort |
Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future |
| dc.creator.fl_str_mv |
Moreno Rocha, Christian Manuel Arenas Buelvas, Daina VEGA, ITZJAK Peña Pacheco, Juan Francisco |
| dc.contributor.author.none.fl_str_mv |
Moreno Rocha, Christian Manuel Arenas Buelvas, Daina VEGA, ITZJAK Peña Pacheco, Juan Francisco |
| dc.subject.proposal.none.fl_str_mv |
Applied mathematics Data handling Database Environmental and energy sustainability Fuzzy logic Selection of data |
| topic |
Applied mathematics Data handling Database Environmental and energy sustainability Fuzzy logic Selection of data |
| description |
This analysis examines the evaluation of alternatives using the AHP (Analytic Hierarchy Process) and FAHP (Fuzzy Analytic Hierarchy Process) methodologies in five scenarios (SC1 to SC5), with the aim of comparing the effectiveness of both approaches in incorporating environmental and technical criteria. The findings reveal that, in the SC1 scenario, AHP assigns weights of 14.35 % to A1 and 16.22 % to A2, while FAHP shows a greater dispersion and highlights A6 with 35.22 %. In SC2, AHP favors A1 with 14.16 % and FAHP increases the weight of the environmental criterion to 21.18 %. In SC3, A1 remains the preferred option in both methodologies, although AHP and FAHP exhibit a close weight of 34.00 % and 32.98 %, respectively. In SC4, AHP and FAHP maintain a similar trend, with A1 standing out with 11.12 % and A4 with 34.87 %. Finally, in SC5, the findings show that AHP allocates 8.52 % to A1, while FAHP indicates 10.73 %. The observations suggest that FAHP allows a greater sensitivity to variations in the sub-criteria, thus facilitating a more accurate assessment aligned with sustainability objectives. The relevance of environmental and social criteria across the different scenarios highlights the need to integrate more sustainable approaches into decision-making. It is deduced that, although AHP provides consistent outcomes, FAHP might be more suitable for evaluating alternatives in contexts where complexity and uncertainty are significant. It is recommended to perform sensitivity analysis to delve into the influence of variations in the weights of the criteria on final decisions. |
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2025 |
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2025-04-07T20:10:27Z |
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2025-04-07T20:10:27Z |
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2025-04 |
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Moreno Rocha Christian Manuel, Arenas Buelvas Daina, Vega Machado Itzjak, Pacheco Peña Juan, Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future, Data in Brief, Volume 59, 2025, 111348, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2025.111348 |
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2352-3409 |
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https://hdl.handle.net/11323/14116 |
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10.1016/j.dib.2025.111348 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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Moreno Rocha Christian Manuel, Arenas Buelvas Daina, Vega Machado Itzjak, Pacheco Peña Juan, Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future, Data in Brief, Volume 59, 2025, 111348, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2025.111348 2352-3409 10.1016/j.dib.2025.111348 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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Data in Brief |
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C. Manuel, M. Rocha, D.A. Buelvas, Evaluation of renewable energy technologies in Colombia : comparative evalua- tion using TOPSIS and TOPSIS fuzzy metaheuristic models, Energy Inform. (2024), doi: 10.1186/s42162-024-00348-w . C. Manuel , M. Rocha , D.A. Buelvas , S. De , H. Escorcia , Evaluation and ranking of energy alternatives for implementa- tion in different geographic scenarios using decision methods : case study of Colombia, Int. J. Electr. Comput. Eng. 14 (5) (2024) 191–202 . C. Moreno, “A hybrid energy solution for the sustainable electricity supply of an irrigation system in a rural area of Zona Bananera, Colombia,” Int. J. Energy Econ. Policy , 10.32479/ijeep.11014 . C.M.M. Rocha, D.F. Pérez, J.R. Retamoza, J.S. Ortega, D.B. Bohórquez, L.T. Catalan, Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific Zone, Int. J. Energy Econ. Policy 12 (5) (Sep. 2022) 409–419, doi: 10.32479/IJEEP.13448 . C.M.M. Rocha, J.D.M. Boiler, S.M.M. Pizarro, L.M.M. Higuera, W.R.I. Conde, Evolution, challenges, and perspective in the implementation of projects with renewable energy sources: colombia case, Int. J. Energy Econ. Policy 12 (6) (2022) 230–236, doi: 10.32479/ijeep.13460 . M. Sadeghi, R. Naghedi, K. Behzadian, A. Shamshirgaran, M.R. Tabrizi, R. Maknoon, Customisation of green buildings assessment tools based on climatic zoning and experts judgement using K-means clustering and fuzzy AHP, Build. Environ. 223 (2022) 109473 no. May, doi: 10.1016/j.buildenv.2022.109473 . A . Alkubaisi, M.A . Alnsour, Using AHP method for development of existing building green assessment system in Jordan, Asian J. Civ. Eng. 23 (8) (2022) 1231–1250, doi: 10.1007/s42107- 022- 00479- z . C. Manuel, M. Rocha, A.S. Benitez, Review and bibliographic analysis of metaheuristic methods in multicriteria decision-making : a 45-year perspective across international, Latin American, and Colombian contexts, J. Appl. Math. 2024 (2024), doi: 10.1155/2024/5577682 . F. Ecer , Multi-criteria Decision Making For Green Supplier Selection Using Interval type-2 Fuzzy AHP: a Case Study of a Home Appliance Manufacturer, 22, Springer, Berlin Heidelberg, 2022 . Ö. Kaya, K.D. Alemdar, A. Atalay, M.Y. Çodur, A. Tortum, Electric car sharing stations site selection from the perspec- tive of sustainability: a GIS-based multi-criteria decision making approach, Sustain. Energy Technol. Assessments 52 (2022) no. February, doi: 10.1016/j.seta.2022.102026 . S. Mandal, K.H. Gazi, S. Salahshour, S.P. Mondal, P. Bhattacharya, A.K. Saha, Application of interval valued intuition- istic fuzzy uncertain MCDM methodology for Ph.D supervisor selection problem, Results Control Optim 15 (2024) 100411, doi: 10.1016/j.rico.2024.100411 . M. Zhang, Q. Yan, W. Li, G. Tang, H. Lin, Sustainability performance assessment of photovoltaic coupling storage charging stations with novel multi-criteria decision-making technique, Int. J. Electr. Power Energy Syst. 142 (2022) 108301 no. PA, doi: 10.1016/j.ijepes.2022.108301 . C. Moreno , A. Ospino-castro , C. Robles-algarín , U. De Costa , U. Magdalena , S. Marta , Decision-making support frame- work for electricity supply in non-interconnected rural areas based on FAHP, Int. J. Energy Econ. Policy 12 (5) (2022) 79–87 . G. Garcia-Garcia, Using multi-criteria decision-making to optimise solid waste management, Curr. Opin. Green Sus- tain. Chem. 37 (2022) 100650, doi: 10.1016/j.cogsc.2022.100650 . J.F. Peters, D. Iribarren, P.Juez Martel, M. Burguillo, Hourly marginal electricity mixes and their relevance for as- sessing the environmental performance of installations with variable load or power, Sci. Total Environ. 843 (2022) 156963 no. March, doi: 10.1016/j.scitotenv.2022.156963 . Y. Wang, R. Zhao, Coupling coordination development between eco-investment, tourism, and logistics in Anhui Province, China, Humanit. Soc. Sci. Commun. 11 (1) (2024), doi: 10.1057/s41599- 023- 02537- 6 . C. Moreno, C.B. Milanes, W. Arguello, A. Fontalvo, R.N. Alvarez, Challenges and perspectives of the use of pho- tovoltaic solar energy in Colombia, Int. J. Electr. Comput. Eng. 12 (5) (2022) 4521–4528, doi: 10.11591/ijece.v12i5. pp4521-4528 G.M.K. Jesus, D. Jugend, L.A.B. Paes, R.M. Siqueira, M.A. Leandrin, Barriers to the adoption of the circular econ- omy in the Brazilian sugarcane ethanol sector, Clean Technol. Environ. Policy 25 (2) (2021) 381–395, doi: 10.1007/ s10098- 021- 02129- 5 . S. Barbosa-granados, N. Rojas, K.E. Stansfield, J.C. Colmenares-quintero, M. Ruiz-candamil, and P. Cano-perdomo, “Learning and teaching styles in a public school with a focus on renewable energies,” 2022 C. Emilia, F. Antonio, O. Tataje, J.M. Flórez-ibarra, R. Manuel, and A. Velásquez, “Generation of clean water in dry deserts based on photo-voltaic solar plants,” vol. 13, 2022, 10.1016/j.asej.2022.101801 . |
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Atribución 4.0 Internacional (CC BY 4.0)© 2025 The Author(s).https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Moreno Rocha, Christian Manuelvirtual::1041-1Arenas Buelvas, DainaVEGA, ITZJAKvirtual::1042-1Peña Pacheco, Juan Franciscovirtual::1043-12025-04-07T20:10:27Z2025-04-07T20:10:27Z2025-04Moreno Rocha Christian Manuel, Arenas Buelvas Daina, Vega Machado Itzjak, Pacheco Peña Juan, Data set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable future, Data in Brief, Volume 59, 2025, 111348, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2025.1113482352-3409https://hdl.handle.net/11323/1411610.1016/j.dib.2025.111348Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This analysis examines the evaluation of alternatives using the AHP (Analytic Hierarchy Process) and FAHP (Fuzzy Analytic Hierarchy Process) methodologies in five scenarios (SC1 to SC5), with the aim of comparing the effectiveness of both approaches in incorporating environmental and technical criteria. The findings reveal that, in the SC1 scenario, AHP assigns weights of 14.35 % to A1 and 16.22 % to A2, while FAHP shows a greater dispersion and highlights A6 with 35.22 %. In SC2, AHP favors A1 with 14.16 % and FAHP increases the weight of the environmental criterion to 21.18 %. In SC3, A1 remains the preferred option in both methodologies, although AHP and FAHP exhibit a close weight of 34.00 % and 32.98 %, respectively. In SC4, AHP and FAHP maintain a similar trend, with A1 standing out with 11.12 % and A4 with 34.87 %. Finally, in SC5, the findings show that AHP allocates 8.52 % to A1, while FAHP indicates 10.73 %. The observations suggest that FAHP allows a greater sensitivity to variations in the sub-criteria, thus facilitating a more accurate assessment aligned with sustainability objectives. The relevance of environmental and social criteria across the different scenarios highlights the need to integrate more sustainable approaches into decision-making. It is deduced that, although AHP provides consistent outcomes, FAHP might be more suitable for evaluating alternatives in contexts where complexity and uncertainty are significant. It is recommended to perform sensitivity analysis to delve into the influence of variations in the weights of the criteria on final decisions.29 páginasapplication/pdfengElsevier Inc.United Stateshttps://www.sciencedirect.com/science/article/pii/S2352340925000800?pes=vor&utm_source=scopus&getft_integrator=scopusData set for the generation of strategies in the selection of renewable energies in Colombia: Evaluation of AHP and FAHP from regional potentials towards a sustainable futureArtículo 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_970fb48d4fbd8a85ColombiaData in BriefC. Manuel, M. Rocha, D.A. Buelvas, Evaluation of renewable energy technologies in Colombia : comparative evalua- tion using TOPSIS and TOPSIS fuzzy metaheuristic models, Energy Inform. (2024), doi: 10.1186/s42162-024-00348-w .C. Manuel , M. Rocha , D.A. Buelvas , S. De , H. Escorcia , Evaluation and ranking of energy alternatives for implementa- tion in different geographic scenarios using decision methods : case study of Colombia, Int. J. Electr. Comput. Eng. 14 (5) (2024) 191–202 .C. Moreno, “A hybrid energy solution for the sustainable electricity supply of an irrigation system in a rural area of Zona Bananera, Colombia,” Int. J. Energy Econ. Policy , 10.32479/ijeep.11014 .C.M.M. Rocha, D.F. Pérez, J.R. Retamoza, J.S. Ortega, D.B. Bohórquez, L.T. Catalan, Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific Zone, Int. J. Energy Econ. Policy 12 (5) (Sep. 2022) 409–419, doi: 10.32479/IJEEP.13448 .C.M.M. Rocha, J.D.M. Boiler, S.M.M. Pizarro, L.M.M. Higuera, W.R.I. Conde, Evolution, challenges, and perspective in the implementation of projects with renewable energy sources: colombia case, Int. J. Energy Econ. Policy 12 (6) (2022) 230–236, doi: 10.32479/ijeep.13460 .M. Sadeghi, R. Naghedi, K. Behzadian, A. Shamshirgaran, M.R. Tabrizi, R. Maknoon, Customisation of green buildings assessment tools based on climatic zoning and experts judgement using K-means clustering and fuzzy AHP, Build. Environ. 223 (2022) 109473 no. May, doi: 10.1016/j.buildenv.2022.109473 .A . Alkubaisi, M.A . Alnsour, Using AHP method for development of existing building green assessment system in Jordan, Asian J. Civ. Eng. 23 (8) (2022) 1231–1250, doi: 10.1007/s42107- 022- 00479- z .C. Manuel, M. Rocha, A.S. Benitez, Review and bibliographic analysis of metaheuristic methods in multicriteria decision-making : a 45-year perspective across international, Latin American, and Colombian contexts, J. Appl. Math. 2024 (2024), doi: 10.1155/2024/5577682 .F. Ecer , Multi-criteria Decision Making For Green Supplier Selection Using Interval type-2 Fuzzy AHP: a Case Study of a Home Appliance Manufacturer, 22, Springer, Berlin Heidelberg, 2022 .Ö. Kaya, K.D. Alemdar, A. Atalay, M.Y. Çodur, A. Tortum, Electric car sharing stations site selection from the perspec- tive of sustainability: a GIS-based multi-criteria decision making approach, Sustain. Energy Technol. Assessments 52 (2022) no. February, doi: 10.1016/j.seta.2022.102026 .S. Mandal, K.H. Gazi, S. Salahshour, S.P. Mondal, P. Bhattacharya, A.K. Saha, Application of interval valued intuition- istic fuzzy uncertain MCDM methodology for Ph.D supervisor selection problem, Results Control Optim 15 (2024) 100411, doi: 10.1016/j.rico.2024.100411 .M. Zhang, Q. Yan, W. Li, G. Tang, H. Lin, Sustainability performance assessment of photovoltaic coupling storage charging stations with novel multi-criteria decision-making technique, Int. J. Electr. Power Energy Syst. 142 (2022) 108301 no. PA, doi: 10.1016/j.ijepes.2022.108301 .C. Moreno , A. Ospino-castro , C. Robles-algarín , U. De Costa , U. Magdalena , S. Marta , Decision-making support frame- work for electricity supply in non-interconnected rural areas based on FAHP, Int. J. Energy Econ. Policy 12 (5) (2022) 79–87 .G. Garcia-Garcia, Using multi-criteria decision-making to optimise solid waste management, Curr. Opin. Green Sus- tain. Chem. 37 (2022) 100650, doi: 10.1016/j.cogsc.2022.100650 .J.F. Peters, D. Iribarren, P.Juez Martel, M. Burguillo, Hourly marginal electricity mixes and their relevance for as- sessing the environmental performance of installations with variable load or power, Sci. Total Environ. 843 (2022) 156963 no. March, doi: 10.1016/j.scitotenv.2022.156963 .Y. Wang, R. Zhao, Coupling coordination development between eco-investment, tourism, and logistics in Anhui Province, China, Humanit. Soc. Sci. Commun. 11 (1) (2024), doi: 10.1057/s41599- 023- 02537- 6 .C. Moreno, C.B. Milanes, W. Arguello, A. Fontalvo, R.N. Alvarez, Challenges and perspectives of the use of pho- tovoltaic solar energy in Colombia, Int. J. Electr. Comput. Eng. 12 (5) (2022) 4521–4528, doi: 10.11591/ijece.v12i5. pp4521-4528G.M.K. Jesus, D. Jugend, L.A.B. Paes, R.M. Siqueira, M.A. Leandrin, Barriers to the adoption of the circular econ- omy in the Brazilian sugarcane ethanol sector, Clean Technol. Environ. Policy 25 (2) (2021) 381–395, doi: 10.1007/ s10098- 021- 02129- 5 .S. Barbosa-granados, N. Rojas, K.E. Stansfield, J.C. Colmenares-quintero, M. Ruiz-candamil, and P. Cano-perdomo, “Learning and teaching styles in a public school with a focus on renewable energies,” 2022C. Emilia, F. Antonio, O. Tataje, J.M. Flórez-ibarra, R. Manuel, and A. Velásquez, “Generation of clean water in dry deserts based on photo-voltaic solar plants,” vol. 13, 2022, 10.1016/j.asej.2022.101801 .29111134859Applied mathematicsData handlingDatabaseEnvironmental and energy sustainabilityFuzzy logicSelection of dataPublication39a35ad0-fea6-411b-b724-1f1b1e922680virtual::1041-1c992e2d4-6e42-404b-8a0e-de627db2af7dvirtual::1042-168db4480-6bdf-4b47-8526-5e8ff5aad90bvirtual::1043-139a35ad0-fea6-411b-b724-1f1b1e922680virtual::1041-1c992e2d4-6e42-404b-8a0e-de627db2af7dvirtual::1042-168db4480-6bdf-4b47-8526-5e8ff5aad90bvirtual::1043-10000-0002-8902-7896virtual::1041-10009-0001-1175-759Xvirtual::1042-10000-0001-6560-1980virtual::1043-1ORIGINALData set for the generation of strategies in the selection of renewable energies in Colombia Evaluation of AHP and FAHP from regional potentials towards a sustainable future.pdfData set for the generation of strategies in the selection of renewable energies in Colombia Evaluation of AHP and FAHP from regional potentials 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FAHP from regional potentials towards a sustainable future.pdf.jpgData set for the generation of strategies in the selection of renewable energies in Colombia Evaluation of AHP and FAHP from regional potentials towards a sustainable future.pdf.jpgGenerated Thumbnailimage/jpeg12835https://repositorio.cuc.edu.co/bitstreams/e83ce908-64e1-4198-9a24-d0d92c236582/downloadd5db41bc71360475d8890353d6ce331dMD5411323/14116oai:repositorio.cuc.edu.co:11323/141162025-04-08 04:01:31.401https://creativecommons.org/licenses/by/4.0/© 2025 The Author(s).open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ara ejercer estos derechos sobre la Obra tal y como se indica a continuación:</p>
    <ol type="a">
      <li>Reproducir la Obra, incorporar la Obra en una o más Obras Colectivas, y reproducir la Obra incorporada en las Obras Colectivas.</li>
      <li>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.</li>
      <li>Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.</li>
    </ol>
    <p>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).</p>
  </li>
  <br/>
  <li>
    Restricciones.
    <p>La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:</p>
    <ol type="a">
      <li>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).</li>
      <li>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.</li>
      <li>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.</li>
      <li>
        Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:
        <ol type="i">
          <li>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.</li>
          <li>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.</li>
        </ol>
      </li>
      <li>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.</li>
    </ol>
  </li>
  <br/>
  <li>
    Representaciones, Garantías y Limitaciones de Responsabilidad.
    <p>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.</p>
  </li>
  <br/>
  <li>
    Limitación de responsabilidad.
    <p>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.</p>
  </li>
  <br/>
  <li>
    Término.
    <ol type="a">
      <li>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.</li>
      <li>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.</li>
    </ol>
  </li>
  <br/>
  <li>
    Varios.
    <ol type="a">
      <li>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.</li>
      <li>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.</li>
      <li>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.</li>
      <li>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.</li>
    </ol>
  </li>
  <br/>
</ol>
 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