Information for decision-making is ubiquitous: Revisiting the reverse engineering mode in breadmaking technology - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2015

Information for decision-making is ubiquitous: Revisiting the reverse engineering mode in breadmaking technology

Abstract

This paper deals with the process of decision making in the reverse engineering mode and highlights the need for polyvalent information. Three aspects are considered. 1) Reverse engineering implies a preliminary assumption: having defined a desired outcome of the decision process. Defining goals on the possible outcomes is a complex, multi-actor process based on ubiquitous information. Once identified at best, several alternative scenarios may lead to the desired outcome. The first issue consists in evaluating these alternative scenarios. 2) While taking into consideration the positive consequences that the different alternatives will generate, the decision process has to allow for possible negative impacts, which are not explicitly expressed in the defined goals. We thus consider the reverse engineering process has to be bipolar and take rejections into account. 3) Finally, the simultaneous achievement (respectively, avoidance) of several goals (respectively, rejections) is not always possible and depends, in particular, on whether the actions leading to each of these goals (respectively avoiding these rejections) are compatible or not. We thus seek the " best " compatible set of actions and propose to define it as optimizing the bipolar preferences expressed on the outcomes. The approach is both graphical and logical and is focused on a case study in breadmaking technology.
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Dates and versions

lirmm-01382351 , version 1 (16-10-2016)

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Rallou Thomopoulos, Ahmed Chadli, Madalina Croitoru, Joel Abecassis, Gérard Brochoire, et al.. Information for decision-making is ubiquitous: Revisiting the reverse engineering mode in breadmaking technology. RCIS: Research Challenges in Information Science, May 2015, Athens, Greece. pp.250-261, ⟨10.1109/RCIS.2015.7128886⟩. ⟨lirmm-01382351⟩
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