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2018 | OriginalPaper | Buchkapitel

A Multicriteria Group Decision Model for Ranking Technology Packages in Agriculture

verfasst von : Juan Carlos Leyva López, Pavel Anselmo Álvarez Carrillo, Omar Ahumada Valenzuela

Erschienen in: Soft Computing for Sustainability Science

Verlag: Springer International Publishing

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Abstract

The problem of ranking a set of technology packages that are best suited for growing crops, is developed with a multicriteria group decision model. The group decision model is based on ELECTRE GD, a group decision method for multicriteria ranking problems, strongly based on ELECTRE III, developed to work on those cases where there is great divergence among the decision-makers. We use a practical case study to show our approach, where a group of decision-makers evaluates among the available technology packages to an agricultural company, in order to select the most appropriate alternative. The proposed model generates an agreed collective solution that aids those decision-makers with different interests, to reach (through an iterative process) an agreement on how to rank the technology packages. The proposed procedure is also based on a preference disaggregation approach for reaching agreement between individuals. To support the proposal of a temporary collective solution, individual inter-criteria parameters are inferred concerning individual and global preference for outranking methods in a feedback process.

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Titel: A Multicriteria Group Decision Model for Ranking Technology Packages in Agriculture
verfasst von: Juan Carlos Leyva López
Pavel Anselmo Álvarez Carrillo
Omar Ahumada Valenzuela
Verlag: Springer International Publishing
Buch: Soft Computing for Sustainability Science
Print ISBN: 978-3-319-62358-0

Electronic ISBN: 978-3-319-62359-7

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-62359-7_7

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