Search Results - "Interval multiobjective programming"
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1
Authors: et al.
Source: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de MálagaSubject Terms: Internet en la enseñanza, Internet, Econometric analysis, 0502 economics and business, 05 social sciences, Rendimiento académico, School grades, Test scores, Interval multiobjective programming, 0503 education
Access URL: https://hdl.handle.net/10630/33982
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Authors: et al.
Source: Journal of Environmental Engineering. 123:1208-1216
Subject Terms: 13. Climate action, 01 natural sciences, 6. Clean water, 0105 earth and related environmental sciences
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Authors: et al.
Source: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga
instnameSubject Terms: Internet en la enseñanza, interval multiobjective programming, 4. Education, 05 social sciences, academic performance, Academic performance, econometrics, Internet use, 0501 psychology and cognitive sciences, Econometrics, Econometría, Interval multiobjective programming, 0503 education
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Authors: et al.
Subject Terms: Internet en la enseñanza, Internet use, Academic performance, Econometrics, Interval multiobjective programming
Relation: XXX Congreso de AEDE; Oporto; 30 de junio y 1 de julio de 2022; https://hdl.handle.net/10630/24584
Availability: https://hdl.handle.net/10630/24584
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Authors:
Source: Journal of Environmental Engineering; Dec97, Vol. 123 Issue 12, p1208, 9p, 2 Diagrams, 4 Charts, 16 Graphs
Subject Terms: WATER pollution, COMPUTER programming
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Authors: et al.
Source: Journal of Water Resources Planning & Management. Jun2018, Vol. 144 Issue 6, p1-11. 11p.
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Alternate Title: یک راهبرد رضایت بخش بازيهاي ماتریسی دو نفري چند هدفه با عایديهاي فازي
Authors:
Source: Iranian Journal of Fuzzy Systems. Aug2016, Vol. 13 Issue 4, p17-148. 18p.
Subject Terms: *MATRICES (Mathematics), *GAME theory, *FUZZY numbers, *PARETO optimum, *ALGORITHMS
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Authors: et al.
Source: Education & Information Technologies; Sep2022, Vol. 27 Issue 8, p11831-11873, 43p
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Authors: et al.
Source: Agricultural Water Management. Aug2019, Vol. 223, pN.PAG-N.PAG. 1p.
Subject Terms: *STOCHASTIC programming, *WATER rights, *IRRIGATION water, *WATER storage, *WATER leakage, *CONSTRUCTION project management, *WATER supply
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Authors: et al.
Source: Jurnal Tarbiyatuna; 2025, Vol. 16 Issue 1, p95-112, 18p
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Authors:
Source: Education & Information Technologies; 2024, Vol. 29 Issue 10, p12457-12525, 69p
Subject Terms: INTERNET, PRIMARY education, STATISTICAL correlation, ACADEMIC achievement, EDUCATIONAL background
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A Monte-Carlo-based interval De Novo programming method for optimal system design under uncertainty.
Authors: et al.
Source: Engineering Applications of Artificial Intelligence. Jun2018, Vol. 72, p30-42. 13p.
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Alternate Title: Research progress on the optimal allocation of agricultural irrigation water resources. (English)
Authors:
Source: Transactions of the Chinese Society of Agricultural Engineering; Feb2024, Vol. 40 Issue 4, p1-13, 13p
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Authors:
Source: Revista Finanzas y Política Económica; Vol. 16 No. 2 (2024); 375-399 ; Revista Finanzas y Política Económica; Vol. 16 Núm. 2 (2024); 375-399 ; Revista Finanzas y Política Económica; v. 16 n. 2 (2024); 375-399 ; 2011-7663 ; 2248-6046
Subject Terms: Educaci`òn, Calidad de la educaciòn, Pandemia, Anàlisis Causal, Colombia, Education, Educational quality, Pandemics, Causal analysis
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Relation: https://revfinypolecon.ucatolica.edu.co/article/view/5326/5641; https://revfinypolecon.ucatolica.edu.co/article/view/5326/5381; https://revfinypolecon.ucatolica.edu.co/article/view/5326/5595; Abadía, L., Gómez. C., & Cifuentes, J. (2021). Gone with the pandemic: effects of COVID-19 on academic performance in Colombia. Vniversitas Económica, 21(4), 019339. https://drive.google.com/file/d/1LAwxYvLNVJftYzio7bbFNrDcrAOe8iWJ/view; Akseer, N., Kandru, G., Keats, E. C, & Bhutta, Z. A. (2020). Covid-19 pandemic and mitigation strategies: Implications for maternal and child health and nutrition. The American Journal of Clinical Nutrition, 112(2), 251-256. https://doi.org/10.1093/ajcn/nqaa171; Alejo, J., Favata, F., Montes, G. & Trombetta, M. (2021). Conditional vs unconditional regression models: A guide to practitioners. Journal ECONOMÍA, 44(88), 76-93. https://doi.org/10.18800/economia.202102.004; Andrew, A., Cattan, S., Costa, M., Farquharson, C., Kraftman, L., Krutikova, S., & Sevilla, A. (2020). Inequalities in children's experiences of home learning during the COVID‐19 lockdown in England. Fiscal Studies, 41(3), 653-683. https://doi.org/10.1111/1475-5890.12240; Belmonte, M. L., Álvarez, J. S., & Hernández, M. Á. (2022). Rendimiento académico percibido en función de la ocupación laboral de los padres. Revista Complutense de Educación, 33(2), 279-287. https://doi.org/10.5209/rced.74104; Blinder, A. (1973). Wage discrimination: Reduced form and structural estimates. The Journal of Human Resources, 8(4), 436-55. https://doi.org/10.2307/144855; Contreras, D., & Gallardo, S. (2022). The effects of mass migration on the academic performance of native students. Evidence from Chile. Economics of Education Review, 91, 102314. https://doi.org/10.1016/j.econedurev.2022.102314; Cuenca, A. (2016). Desigualdad de oportunidades en Colombia: impacto del origen social sobre el desempeño académico y los ingresos de graduados universitarios. Estudios Pedagógicos, 42(2), 69-93. http://dx.doi.org/10.4067/S0718-07052016000200005; De Coninck, D., Matthijs, K., & Luyten, P. (2019). Subjective well-being among first-year university students: A two-wave prospective study in Flanders, Belgium. Student Success, 10(1), 33-45. https://doi.org/10.5204/ssj.v10i1.642; Engzell, P., Frey, A., & Verhagen, M. D. (2021). Learning loss due to school closures during the COVID-19 pandemic. Proceedings of the National Academy of Sciences, 118(17), e2022376118. https://doi.org/10.1073/pnas.2022376118; Escarbajal, A., Essomba, M., & Abenza, B. (2019). El rendimiento académico de alumnos de la ESO en un contexto vulnerable y multicultural. Educar, 55(1), 79-99. https://doi.org/10.5565/rev/educar.967; Espejel, M. V., & Jiménez, M. (2019). Educational level and occupation of parents: His influence on the academic performance of University Students. RIDE-Revista Iberoamericana para la Investigación y el Desarrollo Educativo, 10(19), 1-20. https://doi.org/10.23913/ride.v10i19.540; Firpo, S., Fortin, N., & Lemieux, T. (2007). Decomposing Wage Distributions using Influence Function Projections and Reweighting (working paper). University of British Columbia. https://www.economics.uci.edu/files/docs/micro/f07/lemieux.pdf; Firpo, S., Fortin, N., & Lemieux, T. (2009). Unconditional quantile regressions. Econometrica, 77, 953-973. https://doi.org/10.3982/ECTA6822; Firpo, S., Fortin, N., & Lemieux, T. (2011). Decomposition methods in economics. En O. Ashenfelter & D. Card (eds.), Handbook of Labor Economics (vol. 4A, chapter 1, pp. 1-102). North-Holland. https://doi.org/10.1016/S0169-7218(11)00407-2; Flórez, J. J. (2021). ¿Podría el acceso a un computador e internet en casa hacer la diferencia en el desempeño de los estudiantes en las pruebas de Estado-SABER 11°? Una aproximación desde el propensity score matching (Tesis de Maestría, Pontificia Universidad Javeriana). Repositorio Institucional – Pontificia Universidad Javeriana.; García, V., Garrido, A., & Martín, R. (2021). The transformation of higher education after the COVID disruption: Emerging challenges in an online learning scenario. Frontiers in Psychology, 12, 616059. https://doi.org/10.3389/fpsyg.2021.616059; Gortazar, L. (2018). The PISA "shock" in the Basque Country: Contingent factors or structural change? Studies on the Spanish Economy, 17, 1-36.; Hanushek, E. A. (1979). Conceptual and empirical issues in the estimation of educational production functions. Journal of Human Resources, 14(3), 351-388. https://doi.org/10.2307/145575; Herrera, D. Y. (2021). El modelo de la alternancia y la desigualdad educativa territorial en la educación en Colombia. Revista Internacional de Pedagogía e Innovación Educativa, 1(2), 61-86. https://doi.org/10.51660/ripie.v1i2.38; Huang, F. M., Liao, J. C., & Yi, C. C. (2020). The impact of labor market work and educational tracking on student educational outcomes: Evidence from Taiwan. Economics of Education Review, 77, 101955. https://doi.org/10.1016/j.econedurev.2020.101955; Hurwitz, L. B., & Schmitt, K. L. (2020). Can children benefit from early internet exposure? Short-and long-term links between internet use, digital skill, and academic performance. Computers & Education, 146, 103750. https://doi.org/10.1016/j.compedu.2019.103750; Kaplan, G., Moll, B., & Violante, G. L. (2020). The great lockdown and the big stimulus: Tracing the pandemic possibility frontier for the US (working paper). National Bureau of Economic Research, w27794. https://doi.org/10.3386/w27794; Kim, S. (2018). How and why fathers are involved in their children’s education: Gendered model of parent involvement. Educational Review, 70(3), 280-299. https://doi.org/10.1080/00131911.2017.1311304; Lichand, G., Dória, C. A., Neto, O. L., & Cossi, J. (2021). The impacts of remote learning in secondary education: Evidence from Brazil during the pandemic. Research Square, 03062021. https://doi.org/10.21203/rs.3.rs-568605/v1; Llanes, L. M., Pico, M. R., Maldonado, D., & García, S. (2022). Desigualdad en el aprendizaje durante el COVID-19: evidencia para estudiantes de secundaria en Colombia (working paper). Escuela de Gobierno Alberto Lleras Camargo, Universidad de los Andes, 020157.; Maldonado, J. E. & De Witte, K. (2022). The effect of school closures on standardised student test outcomes. Revista de Investigación Educativa Británica, 48(1), 49-94. https://doi.org/10.1002/berj.3754; Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14(3), 693-709. https://doi.org/10.2307/2525981; Padilla, M. (2022). Full-time schools, policy-induced school switching, and academic performance. Journal of Economic Behavior & Organization, 196, 79-103. https://doi.org/10.1016/j.jebo.2022.01.025; Prieto, C., Lopez, L., Luque, M., & Marcenaro, O. (2022). The ideal use of the internet and academic success: Finding a balance between competences and knowledge using interval multiobjective programming. Socio-Economic Planning Sciences, 81, 101208. https://doi.org/10.1016/j.seps.2021.101208; Santillán, A. S., & Vargas, J. R. (2022). Descomposición de la desigualdad del rendimiento escolar por condición de pobreza en estudiantes mexicanos. Análisis Económico, 37(95), 125-141. https://doi.org/10.24275/uam/azc/dcsh/ae/2022v37n95/santillan; Sui, J. R. (2022). El impacto de la conectividad de internet móvil sobre los resultados de la prueba Saber 11 en tiempos de pandemia. Universidad de los Andes (Tesis de Maestría, Universidad de los Andes). Séneca - Repositorio Institucional. http://hdl.handle.net/1992/59229; Tomasik, M. J., Helbling, L. A., & Moser, U. (2021). Educational gains of in‐person vs. distance learning in primary and secondary schools: A natural experiment during the COVID‐19 pandemic school closures in Switzerland. International Journal of Psychology, 56(4), 566-576. https://doi.org/10.1002/ijop.12728; https://revfinypolecon.ucatolica.edu.co/article/view/5326
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Authors: Hladík, Milan
Source: Central European Journal of Operations Research; Sep2023, Vol. 31 Issue 3, p713-731, 19p
Subject Terms: LINEAR programming, COMPUTATIONAL complexity, INTERVAL analysis, COST, ROBUST optimization
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Authors:
Source: Child Indicators Research; Feb2023, Vol. 16 Issue 1, p167-197, 31p
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Authors: et al.
Source: RAIRO: Operations Research (2804-7303); 2022, Vol. 56 Issue 3, p2015-2035, 21p
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Authors: et al.
Source: Mathematics (2227-7390); Apr2022, Vol. 10 Issue 7, p1184-1184, 20p
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Authors: et al.
Source: Journal of Happiness Studies; 2021, Vol. 22 Issue 1, p207-239, 33p, 9 Charts
Subject Terms: SATISFACTION, PERSONNEL management, JOB satisfaction, BIRTH rate, FAMILIES
Geographic Terms: EUROPE
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Authors: et al.
Source: Journal of Cleaner Production. 211:293-302
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