This paper critically analyses the nature and state of decision support systems (DSS) research. To provide context for the analysis, a history of DSS is presented which focuses on the evolution of a number of sub-groupings of research and practice: personal decision support systems, group support systems, negotiation support systems, intelligent decision support systems, knowledge managementbas...

Decision Support Systems (DSS) have been involved in all of the stages of the products life-cycle. In the business of end-of-life vehicles (ELVs) treatment, once PEID (Product Embedded Information Devices) systems are used to collect all life-cycle data of the vehicles, a DSS could be needed to manipulate the information and help the operator optimizing the decision results during the treatment...

A Decision Support System for Chemical Incident Information. (August 2002) Gaurav Sharma, B. E. , Panjab University Chair of Advisory Committee: Dr. M. Sam Mannan Decision Support Systems (DSS) find extensive applications in business enabling industry managers to make intelligent risk decisions. Although widely used in business applications, the application of DSS to Process Safety Management h...

The development of a decision support system (DSS) to inform policy making has been progressing rapidly. This paper presents a generic framework and the development steps of a decision tool prototype of geographic information systems (GIS)-based decision support system of river health diagnosis (RHD-DSS). This system integrates data, calculation models, and human knowledge of river health statu...

Using distributed hydrological models to evaluate the effectiveness of reducing non-point source pollution by applying best management practices (BMPs) is an important support to decision making for watershed management. However, complex interfaces and time-consuming simulations of the models have largely hindered the applications of these models. We designed and developed a prototype web-based...

This paper describes an expert system (ES) based decision support system (DSS), which aids the user to select feasible projects among a strategic portfolio supplied by a dynamic simulator. The purpose of developing a DSS embbeded in na ES structure, is to search for the modelling of the decision-maker rather than the decision process. Thus, the ES stores not only the expertise from engineers of...

This study investigates decision support systems (DSS) in a simulated healthcare setting and assesses the factors that enhance DSS perceived effectiveness and their impact on company performance. Our analysis shows that perceived system effectiveness correlates to improved company performance. However, investing significant human resources in developing a system does not necessarily guarantee e...

Decision making requires both information and knowledge. Information (or its absence) is central to decision making situations involving uncertainty and complexity, while knowledge (or its absence) is associated with problems of ambiguity and equivocality. This paper proposes that computer-based decision support technologies are appropriate to supporting decision making under conditions of unce...

The evaluation of the performance of any information system is important for the further improvement of that system. This paper proposes a Decision Support System (DSS) evaluation method based on multiple-criteria techniques within a multiple-constituency perspective. With multiple-constituency DSS evaluation, many criteria may be valuable to a particular group of stakeholders, whilst others ma...

Most of expert knowledge in agriculture is descriptive and experiential, so it is difficult to describe in mathematics and build decision support system (DSS) for greenhouse. Therefore, the decision support system (DSS) for greenhouse constructed of data warehouse and date mining technology was introduced in this paper. In the system, data warehouse was founded to memory diversified date, the u...