The Architecture of DSS has 4 components :
1. Data Management Component
Perform a function of storing and maintaining data or information that we want use for Decision Support System
Data or information can comes from three sources :
2. Model Management Component
Model is representation of some event, fact, or situation. Model can be used for experimentation of decision making and to make
output solution as good as possible.
3. User Interface Management Component
The user interface management component allows you to communicate with the Decision Support System.The user interface is the part
of the system you see through it when enter information, commands, and models. This is the only component of the system with which
you have direct contract. If you have a Decision Support System with a poorly designed user interface, if it is too rigid or too cumbersome
to use, you simply won't use it no matter what its capabilities. The best user interface uses your terminology and methods and is flexible,
consistent, simple, and adaptable.
4.Knowledge Management Component
The knowledge management component, like that in an expert system, provides information about the relationship among data that
is too complex for a database to represent. It consists of rules that can constrain possible solution as well as alternative solutions and
methods for evaluating them.
Decision Support System have five types :
1. Communication-driven DSS
Most communications-driven DSSs are targeted at internal teams, including partners. Its purpose are to help conduct a meeting, or for users to collaborate. The most common technology used to deploy the DSS is a web or client server. Examples: chats and instant messaging software, online collaboration and net-meeting systems.
2. Data-driven DSS
Most data-driven DSSs are targeted at managers, staff and also product/service suppliers. It is used to query a database or data warehouse to seek specific answers for specific purposes. It is deployed via a main frame system, client/server link, or via the web. Examples: computer-based databases that have a query system to check (including the incorporation of data to add value to existing databases.
3. Document-driven DSS
Document-driven DSSs are more common, targeted at a broad base of user groups. The purpose of such a DSS is to search web pages and find documents on a specific set of keywords or search terms. The usual technology used to set up such DSSs are via the web or a client/server system. Examples:
4. Knowledge-driven DSS
Knowledge-driven DSSs or 'knowledgebase' are they are known, are a catch-all category covering a broad range of systems covering users within the organization setting it up, but may also include others interacting with the organization - for example, consumers of a business. It is essentially used to provide management advice or to choose products/services. The typical deployment technology used to set up such systems could be slient/server systems, the web, or software runnung on stand-alone PCs.
5. Model-driven DSS
Model-driven DSSs are complex systems that help analyse decisions or choose between different options. These are used by managers and staff members of a business, or people who interact with the organization, for a number of purposes depending on how the model is set up - scheduling, decision analyses etc. These DSSs can be deployed via software/hardware in stand-alone PCs, client/server systems, or the web.
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