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https://core.ac.uk/display/6727584
Abstract. This paper investigates two alternative strategies for implementing Decision Support Systems (DSS): evolutionary and traditional. The evolutionary approach utilizes judgement modeling (boot strapping) as a means to create felt need, to provide insight into the decision process and the implied weighting of decision variables, and to establish a learning-based, participatory ...Author: Maryam Alavi and John C. Henderson
https://faculty.wharton.upenn.edu/wp-content/uploads/2012/04/Evolutionary-approach-to-the-development-of-decision-support-systems-in-the-movie-industry.pdf
Decision support systems Managerial decision making Motion picture industry models Scheduling This paper reports the development and implementation of a decision support system in a non-traditional domain — the motion picture industry. The approach reported here is evolutionary, and the model was
http://lnse.org/papers/113-CS003.pdf
evolution of the DSS itself; with or without any associated framework together with it. Lack of proper definitions is one of the motivations in this study. The development of the evolutionary framework and the . Evolutionary Framework of a Decision Support System for Forensic DNA Analysis Lecture Notes on Software Engineering, Vol. 2, No. 2 ...
https://msbfile03.usc.edu/digitalmeasures/doleary/intellcont/DSS%20Evolution-revised-2-1.doc
: Decision Support System, Evolution. 1. Introduction. Apparently, Courbon, Grajew and Tolovi (1978) were the first to use the notion of “evolution” in decision support systems (DSS). Soon after that, Keen (1980) elaborated on key aspects related to evolution in DSS.
https://www.researchgate.net/publication/44260456_An_Evolutionary_Computing_Model_to_Implement_Decision_Support_Systems_for_Buying_Electronics
An Evolutionary Computing Model to Implement Decision Support Systems for Buying Electronics ... The representation of data through a search engine in e-commerce systems using decision support ...
https://dl.acm.org/citation.cfm?id=1062002
The aim of this paper is to contribute to decision support systems theory by investigating and clearly specifying the nature of the evolutionary process of a DSS. Using insights from other disciplines and prior DSS research, a framework for understanding DSS evolution is developed based on the aetiology, lineage, and tempo of evolution.Cited by: 125
https://www.gsb.stanford.edu/faculty-research/working-papers/design-implementation-decision-support-systems-some-implications
This paper is an evaluation and critique of the Decision Support System (DSS) design and implementation methodology proposed by Gerrity (1970, 1971). A recent study (Stabell, 1974) of a system for portfolio management which was produced using Gerritys methodology forms the empirical base for the analysis.
https://www.tandfonline.com/doi/abs/10.1080/02827581.2013.822543
May 21, 2007 · Decision support systems (DSSs) are indispensable tools in preparing a forest management plan for a better combination of multiple forest values. This study attempted to develop and explain a stand-based forest management DSS (Ecosystem-based multiple-use forest planning [ETÇAP]) comprising a traditional simulation, linear programming (LP), metaheuristics and geographic information system.Cited by: 6
https://www.cdc.gov/dhdsp/pubs/guides/best-practices/clinical-decision-support.htm
Clinical decision support systems (CDSS) are computer-based programs that analyze data within EHRs to provide prompts and reminders to assist health care providers in implementing evidence-based clinical guidelines at the point of care.Applied to cardiovascular disease (CVD) prevention, this Domain 3 strategy can be used to facilitate care in various ways—for example, by reminding providers ...
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