There are various frameworks for decision support system (DSS) that have been formulated. Such frameworks describe the characteristics of DSS. In this paper a proposed effectiveness DSS framework for e-government is presented. This is done by integrating DSS components to support managers and decision makers in e-government. The structure of the proposed DSS framework is discussed. It is expect...

In this contribution, a protocol for secure data gathering is introduced that utilises existing e-voting protocols to gather data records instead of votes. The protocol relies on two distinct authorities for the secure gathering of data and makes use of a token for each database record, making unencrypted data accessible only to the system participants. The protocol is suitable for decision sup...

Classification may not be reliable for several reasons: noise in the data, insufficient input information, overlapping distributions and sharp definition of classes. Faced with K possibilities a decision support system may still be useful in such cases if instead of classification elimination of improbable classes is done. Eliminators may be constructed using classifiers assigning new cases to ...

In the past, little attention has been paid to critiquing in domains in which reasoning, planning and action are interleaved, or in which actions can change the agent's knowledge in ways that aaect subsequent reasoning and planning. This paper discusses the demands these characteristics make on a critiquing system. The goal-directed approach to critiquing that I am developing interacts with a p...

Effective planning of urban building sites is essential because they are often a source of various kinds of nuisances. In this paper, we present a decision support system for the public space administrator in order to manage building sites nuisances efficiently. The decision support offered through the system is a hybrid approach of two categories. In the first, the decision maker is assisted b...

We propose a novel naturalistic decision support system for complex fault management procedures onboard modern aircraft. Two experiments involving 13 civil pilots are presented. The results show that the system proposed improves pilots’ decision accuracy, decision performance and situation awareness, whilst reducing mental workload and complacency to system advisories.

Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...

The healthcare industry collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Decision support systems (DSS) can now use advanced technologies such as On-Line Analytical Processing (OLAP) and data mining to deliver advanced capabilities. This paper presents a prototype clinical decision support system which combines the strengt...

Computerized Physician Order Entry has emerged as the greatest potential to decrease medications errors and improve efficiency. A literature review was conducted in systematic stages that included the research data from the last 25 years. Efficiencies were found with a decrease in overall workload of nurses, pharmacists and clerical workers. This led to decreased operating expenses. A secure wa...