Editing Decision support system (section)

== Taxonomies ==
Using the relationship with the user as the criterion, Haettenschwiler<ref name="Haettenschwiler 1999" /> differentiates ''passive'', ''active'', and ''cooperative DSS''. A ''passive DSS'' is a system that aids the process of decision making, but that cannot bring out explicit decision suggestions or solutions. An ''active DSS'' can bring out such decision suggestions or solutions. A ''cooperative DSS'' allows for an iterative process between human and system towards the achievement of a consolidated solution: the decision maker (or its advisor) can modify, complete, or refine the decision suggestions provided by the system, before sending them back to the system for validation, and likewise the system again improves, completes, and refines the suggestions of the decision maker and sends them back to them for validation.

Another taxonomy for DSS, according to the mode of assistance, has been created by D. Power:<ref>{{Cite web|url=http://dssresources.com/papers/dssarticles.html|title = Decision Support Systems (DSS) Articles On-Line}}</ref> he differentiates ''communication-driven DSS'', ''data-driven DSS'', ''document-driven DSS'', ''knowledge-driven DSS'', and ''model-driven DSS''.<ref name="Power 2002" /> 
*A ''communication-driven DSS'' enables cooperation, supporting more than one person working on a shared task; examples include integrated tools like Google Docs or [[Microsoft SharePoint Workspace]].<ref>{{cite book|last=Stanhope|first=Phil|year=2002|title=Get in the Groove: Building Tools and Peer-to-Peer Solutions with the Groove Platform|publisher=Wiley |url=https://dl.acm.org/citation.cfm?id=863448|access-date=2019-10-30|via=ACM Digital Library|isbn=9780764548932}}</ref>
*A ''data-driven DSS'' (or data-oriented DSS) emphasizes access to and manipulation of a [[time series]] of internal company data and, sometimes, external data.
*A ''document-driven DSS'' manages, retrieves, and manipulates [[unstructured information]] in a variety of electronic formats.
*A ''knowledge-driven DSS'' provides specialized [[problem-solving]] expertise stored as facts, rules, procedures or in similar structures like interactive [[decision tree]]s and flowcharts.<ref name="Power 2002" />
*A ''model-driven DSS'' emphasizes access to and manipulation of a statistical, financial, optimization, or [[Computer simulation|simulation]] model. Model-driven DSS use data and parameters provided by users to assist decision makers in analyzing a situation; they are not necessarily data-intensive. Dicodess is an example of an [[open-source model]]-driven DSS generator.<ref>Gachet, A. (2004). [https://books.google.com/books?id=WAJp6cjMD7MC&q=%22decision+support%22 Building Model-Driven Decision Support Systems with Dicodess]. Zurich, VDF.</ref>

Using scope as the criterion, Power<ref name="Power 1996">Power, D. J. (1996). What is a DSS? The On-Line Executive Journal for Data-Intensive Decision Support 1(3).</ref> differentiates ''enterprise-wide DSS'' and ''desktop DSS''. An ''enterprise-wide DSS'' is linked to large data warehouses and serves many managers in the company. A ''desktop, single-user DSS'' is a small system that runs on an individual manager's PC.