The Evolution of Decision Support Systems: From Early Expert Systems to AI-Driven Paradigms and Advanced MCDM

Abstract

Decision Support Systems were born in the 70s. This paper proposes an

history of DSSs, tracking their evolution through their definitions and architectures.

Four periods are identified in the history: the early days; the

era of expert systems; the intermediary period, for which several techniques

are used: Optimization and Multi-criteria decision Making; the most recent

period related to Big Data and Machine Learning. Group Decision Support

Systems are also detailed as well as an example of such platform. Particular

attention is paid to multi-criteria decision-making methods, two of which are

described in detail: Combined Compromise Solution method and Minimum

of Rank method.