Abstract
The topic of Group Decision Support Systems (GDSS) has been studied over the last decades. Supporting decision-makers that participate in group decision-making processes is a complex task, especially when decision-makers have no opportunity to gather at the same place and at the same time. In this work, we propose a Web based Group Decision Support System (WebGDSS) which intends to support decision-makers anywhere, anytime and through almost any kind of devices. Our system was developed under a SOA architecture and we used a multi-criteria algorithm that features decision-makers’ cognitive aspects, as well as a component of generation of intelligent reports to provide feedback of decision-making processes to the decision-makers.
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Acknowledgments
This work was supported by EUREKA - ITEA2 Project INVALUE (ITEA-13015), INVALUE Project (ANI|P2020 17990), and has received funding from FEDER Funds through NORTE2020 program and from National Funds through FCT - Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) under the project UID/EEA/00760/2013 and with the João Carneiro Ph.D. Grant with the Reference SFRH/BD/89697/2012.
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Conceição, L., Carneiro, J., Marreiros, G., Novais, P. (2017). A SOA Web-Based Group Decision Support System Considering Affective Aspects. In: Oliveira, E., Gama, J., Vale, Z., Lopes Cardoso, H. (eds) Progress in Artificial Intelligence. EPIA 2017. Lecture Notes in Computer Science(), vol 10423. Springer, Cham. https://doi.org/10.1007/978-3-319-65340-2_6
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DOI: https://doi.org/10.1007/978-3-319-65340-2_6
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