Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Since the early 1970s, decision support systems (DSS) technology and applications have evolved significantly. Many technological and organizational developments have exerted an im...
J. P. Shim, Merrill Warkentin, James F. Courtney, ...
It is important for managers and Information Technology professionals to understand data-driven decision support systems and how such systems can provide business intelligence and ...
In many parts of the world there is a growing demand for participation in public policy decision making. This demand could be satisfied by the design and deployment of webbased gr...
The objective of research support systems (RSS) is to support and improve research, which may be viewed as a counterpart of decision support systems (DSS) for scientists. Web-base...
In this paper we present a coordination approach towards creating and maintaining alignment between the business and its support systems. The business objectives are related to the...
We consider empirical evaluation of the availability of the deployed software. Evaluation of real systems is more realistic, more accurate, and provides higher level of confidenc...
Abstract. Rough sets have been applied to many areas where multiattribute data is needed to be analyzed to acquire knowledge for decision making. Web-based Support Systems (WSS) ar...