Abstract
There are many ways in which a literature survey can be done. One is to study the chronological order of development and another is to make a study of the developmental process itself. There is also a way of surveying the evolution in its different stages of growth with various adaptations made. This paper is an attempt to study the different stages of growth of the Decision Support Systems taking into consideration the different types based on its framework, its application, and its architecture. In each, a few models are evaluated to show the evolution of Decision Support Systems. Although there are many models of Decision Support Systems that have evolved with growth of technological advancements, a complete study of all the models is not the scope of the paper. Rather, the paper attempts to show that since the Decision Support Systems evolved with the adaptation of advancements in technological developments, the decision support system in the future will also evolve in the line of technological developments.
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Lourdusamy, R., Mattam, X.J. (2021). Adaptation and Evolution of Decision Support Systems—A Typological Survey. In: Gunjan, V.K., Zurada, J.M. (eds) Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough. Studies in Computational Intelligence, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-030-68291-0_8
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