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dc.date.accessioned 2021-09-27T19:31:18Z
dc.date.available 2021-09-27T19:31:18Z
dc.date.issued 2019-04-14
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/125712
dc.description.abstract Decision making for farms is a complex task. Farmers have to fix the price of their production but several parameters have to be taken into account: harvesting, seeds, ground, season etc.… This task is even more difficult when a group of farmers must make the decision. Generally, optimization models support the farmers to find no dominated solutions, but the problem remains difficult if they have to agree on one solution. In order to support the farmers for this complex decision we combine two approaches. We firstly generate a set of no dominated solutions thanks to a centralized optimization model. Based on this set of solution we then used a Group Decision Support System called GRUS for choosing the best solution for the group of farmers. The combined approach allows us to determine the best solution for the group in a consensual way. This combination of approaches is very innovative for the Agriculture domain. en
dc.format.extent 83-94 es
dc.language en es
dc.subject Centralized Optimization Model es
dc.subject Group Decision Support System es
dc.subject AgriBusiness es
dc.title How to Support Group Decision Making in Horticulture en
dc.type Objeto de conferencia es
sedici.identifier.other doi:10.1007/978-3-030-18819-1_7 es
sedici.identifier.isbn 978-3-030-18819-1 es
sedici.identifier.isbn 978-3-030-18818-4 es
sedici.title.subtitle An Approach Based on the Combination of a Centralized Mathematical Model and a Group Decision Support System en
sedici.creator.person Zaraté, Pascale es
sedici.creator.person Alemany, Mareva es
sedici.creator.person Pino, Mariana del es
sedici.creator.person Álvarez, Ana Esteso es
sedici.creator.person Camilleri, Guy es
sedici.description.note Es parte de Freitas P., Dargam F., Moreno J. (eds) (2019) Decision Support Systems IX: Main Developments and Future Trends. EmC-ICDSST 2019. Lecture Notes in Business Information Processing, vol 348. Cham: Springer. es
sedici.subject.materias Ciencias Agrarias es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Agrarias y Forestales es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.date.exposure 2019
sedici.relation.event 5th International Conference on Decision Support System Technology, EmC-ICDSST (Funchal, Madeira, Portugal, 7 a 29 de mayo de 2019) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)