Decision support systems (dss) are used for the solution of a wide range of environmental related problems. In order to use dss more efficient it is necessary to divide them according to specific purpose types. Classic dss can be applied to situations in order to investigate the change of a system under certain one-time actions. Because of usual complex initial situations and huge demand of dat...

Decision support systems (DSS) technology is undergoing rapid innovation and evolution. DSS software facilities continue to become more comprehensive and may soon include a broad range of communications support features. We are also beginning to see that expert systems technology will enhance traditional DSS capabilities. The focus on hardware for DSS has shifted from the minicomputer and mainf...

The development and deployment of managerial decision support system represents an emerging trend in the business and organizational field in which the increased application of Decision Support Systems (DSS) can be compiling by Intelligent Systems (IS). Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-makin...

Research on decision support systems (DSS)/executive information systems (EIS) has been primarily concerned with the behavioral aspect of managerial work and has largely ignored the cognitive aspect of decision support. Rather than focusing on the manager’s information need on ‘‘critical success factors’’ and the need for supporting specific decision making, this research emphasizes the need to...

abstract one of the important economic problems in arid and semi-arid regions is insufficient water for agricultural purposes as it is evident for other purposes. accordingly, sustainable management of water resources becomes an important challenge for policymakers. this study investigated water use planning based on the fluctuation of rainfall and the random nature of water resources in firoza...

Designing environmentally sound landfills is a challenging engineering task due to complex interactions of numerous design variables; such as landfill size, waste characteristics, and site hydrogeology. Decision support systems (DSS) can be utilized to handle these complex interactions and to aid in a performance-based landfill design by coupling system simulation models (SSM). The aim of this ...

One of the main goals of precision agriculture researches is to define a suitable decision support system (DSS) for farm management with the goal of optimizing returns on inputs while preserving resources. Therefore, our long-term objective is the development of an adequate DEM model which can be adapted in the actual decision support system (DSS) to create a new model driven decision support s...

This paper concerns the design of decision support systems (DSSs) which help financial managers in evaluating proposals for strategic and long-range planning. With the proposed two-phased DSS, projects are first selected from a given pool according to greedy heuristics based on the project’s preferences as well as the project’s efficiency. Then, integer programming with an approximation algorit...

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...

There are a limited number of scientific studies concerned with the evaluation of DSS in general, and even less concerned with the evaluation of DSS in a clinical context. The purpose of this study is to evaluate the clinical DSS at the Department of Orthopedics at Sahlgrenska University Hospital in order to answer how one should evaluate clinical DSS. We have in our study created a research fr...