Abstract
The paper is intended to describe the evolution of a particular class of information systems called DSS (Decision Support Systems) under the influence of several technologies. It starts with a description of several trends in automation. Decision-making concepts, including consensus building and crowdsourcing-based approaches, are presented afterwards. Then, basic aspects of DSS, which are meant to help the decision-maker to solve complex decision problems that count, are reviewed. Various DSS classifications are described from the perspective of specific criteria, such as: type of support, number of users, decision-maker type, and technological orientation. Several modern I&CT (Information and Communication Technologies) ever more utilized in DSS design are addressed next. Special attention is paid to Artificial Intelligence, including Cognitive Systems, Big Data Analytics, and Cloud and Mobile Computing. Several open problems, concerns and cautious views of scientists are revealed as well.
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Filip, F.G. (2020). DSS—A Class of Evolving Information Systems. In: Dzemyda, G., Bernatavičienė, J., Kacprzyk, J. (eds) Data Science: New Issues, Challenges and Applications. Studies in Computational Intelligence, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-39250-5_14
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