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Journal articles
A Decision Support Tool for Agricultural Applications Based on Computational Social Choice and Argumentation
Abstract : In the current article, the authors describe an applied procedure to support collective decision making for applications in agriculture. An extended 2-page abstract of this paper has been accepted by the EFITA WCCA congress and this manuscript is an extended version of this submission. The problem the authors are facing in this paper is how to reach the best decision regarding issues coming from agricultural engineering with the aid of Computational Social Choice (CSC) and Argumentation Framework (AF). In the literature of decision-making, several approaches from the domains of CSC and AF have been used autonomously to support decisions. It is our belief that with the combination of these two fields the authors can propose socially fair decisions which take into account both (1) the involved agents' preferences and (2) the justifications behind these preferences. Therefore, this article implements a software tool for decision-making which is composed of two main systems, i.e., the social choice system and the deliberation system. In this article, the authors describe thoroughly the social choice system of our tool and how it can be applied to different alternatives on the valorization of materials coming from agriculture. As an example, that is demonstrated an application of our tool in the context of Ecobiocap European project where several decision problems are to be addressed. These decision problems consist in finding the best solutions for questions regarding food packaging and end-of-life management.
Cited literature [31 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01893516
Contributor : Pierre Bisquert <>
Submitted on : Friday, December 14, 2018 - 4:12:14 PM
Last modification on : Thursday, December 17, 2020 - 2:54:05 PM
Long-term archiving on: : Friday, March 15, 2019 - 1:19:02 PM
Contributor : Pierre Bisquert <>
Submitted on : Friday, December 14, 2018 - 4:12:14 PM
Last modification on : Thursday, December 17, 2020 - 2:54:05 PM
Long-term archiving on: : Friday, March 15, 2019 - 1:19:02 PM
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