Indexing modeling languages for mathematical programming
Management Science
Decision support using the intranet
Decision Support Systems - Special issue: intranets and intranetworking
Proceedings of the Conference on The Future of Software Engineering
KaViDo: a web-based system for collaborative research and development processes
Computers in Industry - Special issue: Knowledge sharing in collaborative design environments
Computers and Operations Research
Integrated object-oriented framework for MCDM and DSS modelling
Decision Support Systems
Designing recommender systems for e-commerce: an integration approach
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
An Integrated Environment for the Development of Knowledge-Based Recommender Applications
International Journal of Electronic Commerce
Progress in Web-based decision support technologies
Decision Support Systems
An integrated decision support environment for organisational decision making
Proceedings of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges
Ranking and Selecting Services
ICSR '09 Proceedings of the 11th International Conference on Software Reuse: Formal Foundations of Reuse and Domain Engineering
Towards effective course-based recommendations for public tenders
International Journal of Knowledge and Web Intelligence
| Hi-index | 4.10 |
Decision support systems (DSSs) are software products that help users apply analytical and scientific methods to decision making. They work by using models and algorithms from disciplines such as decision analysis, mathematical programming and optimization, stochastic modeling, simulation, and logic modeling. DSS products can execute, interpret, visualize, and interactively analyze these models over multiple scenarios. In recent years, the growing popularity of online analytical processing, data warehousing and supply chain management has led to an increased interest in the development of decision support systems. When well implemented and used wisely, DSSs can significantly improve the quality of an organization's decision making. However, building a DSS requires significant expertise in decision analysis, programming, and user interface design. A DSS can also need to connect in real time with other enterprise applications, further complicating the task. For these reasons, the broad use of DSSs-- compared with, say, database-management systems-- has not occurred. What's missing is sophisticated tool support for developing DSSs. One current solution is a DSS generator, a kit or environment for developing an application-specific DSS. DSS generators are crucial to the success of DSSs in practice. In this article, the authors describe the state of the art in DSS generator software, specifically in the realm of decision analysis methods. They briefly describe the features of 11 commercially available DSS generators that specialize in decision analysis.