Decision support systems (DSS) are computerized systems that assist humans to make decisions. Early versions were designed for executives, but over time DSSs were designed for workers at any level in the organization (Keen & Morton, 1978; Rockart, 1979). Due to increasing costs in providing benefits and services, organizations are forcing workers and consumers to take increasing responsibility ...

Effectiveness of Decision Support Systems (DSS’s) is enhanced through dynamic adaptation of support to the needs of the decision maker, to the problem, and to the decision context. We define this enhanced DSS’s as Adaptive Decision Support Systems (ADSS’s) and propose its architecture. In an ADSS, the decision maker controls the decision process. However, the system monitors the process to matc...

Decision support systems (DSSs) are defined as interactive computer-based systems that aid users in judgment and choice activities. The entry focuses on the core module of DSSs, notably one that directly supports modeling decision problems and identifies best alternatives. It introduces three components of decisions: decision alternatives, preferences, and uncertainty. It presents fundamental c...

This paper describes an intelligent computer system giving decision support in the area of sentencing of traffic law offenders. The system evaluates the previous record of a traffic offender, and suggests how to consider that record when passing sentence in a new traffic case.

Clinical decision support (CDS) systems link patient data with an electronic knowledge base in order to improve decision-making and computerised physician order entry (CPOE) is a requirement to set up electronic CDS. The medical informatics literature suggests categorising CDS tools into medication dosing support, order facilitators, point-of-care alerts and reminders, relevant information disp...

Traditional Decision Support Systems (DSS) give not enough possibilities of intervention to the user. These systems are reduced to an insular and very technical state in which the objective is not support decision but to dump data on the screen in the hope that the user will know what to do with. In complex situations, decision is not structured and it becomes primordial to design intelligent a...

Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms, simulation approaches, and heuristic methods are extensive in production planning, they seem to be ineff...