Difference between revisions of "Decision support system"

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==Definition==
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<!-- '''Source:''' [[Comparative Analysis of Methods and Tools for Nuclear Knowledge Preservation]]  -->
  
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==Purpose & benefits==
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The purpose of a Decision Support System (DSS) is to improve and support decision making within the organization. It facilitates that automation of routine decisions, and provides useful, supporting information for more complex, non-routine decision making.
  
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==Description==
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Decision support systems (DSS) are a class of computerized information system that support decision-making activities. Decision support systems are designed artifacts that have specific functionality.
  
==Definition==
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Decision Support System types include i) communications-driven, ii) data-driven, iii) document-driven, iv) knowledge-driven, and v) model-driven systems. Communications technologies are central to communications-driven DSS for supporting decision-making.
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'''Source:''' [[]]
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== Summary==
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Data-driven DSS provide access to large data stores and analytics to create information. Document-driven DSS use documents to provide information for decision making. Knowledge-driven DSS are sometimes generically called expert systems or recommender systems. Model-driven DSS use quantitative models for functionality and have been called model-oriented DSS and computationally oriented DSS. The term knowledge management system (KMS) encompasses both document and knowledge-driven DSS.
One paragraph summary which summarises the main ideas of the article.
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== Description==
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From [http://onlinelibrary.wiley.com/doi/10.1002/9781118785317.weom070211/abstract;jsessionid=2FCA2A1461FE4E6A8E9F2832498B6E4E.f04t03?userIsAuthenticated=false&deniedAccessCustomisedMessage= Decision Support Systems]
Decision support systems constitute a class of computer based information systems including
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knowledge based systems that support decision making activities.
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'''Source:''' [[Comparative Analysis of Methods and Tools for Nuclear Knowledge Preservation]]
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==Variations==
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Decision Support Systems have evolved/merged into other types of technology solutions, e.g. Big data, Business Intelligence, and (automated) workflow systems.
  
==References==
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==Implementation guide==
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See the [[http://wiki-nkm.iaea.org/wiki/index.php/Information_technology#Implementation_guide Implementation guide]] in the [[Information technology]] article.
  
==Related articles==
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==Success factors==
[[Decision summary]]
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See the [[http://wiki-nkm.iaea.org/wiki/index.php/Information_technology#Success_factors Success factors]] in the [[Information technology]] article.
  
[[Knowledge or risk informed decision processes]]
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==Common pitfalls==
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See the [[http://wiki-nkm.iaea.org/wiki/index.php/Information_technology#Common_pitfalls Common pitfalls]] in the [[Information technology]] article.
  
[[Optimal decision]]
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==Related articles==
 
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[[Big data]]
[[Consensus decision making]]
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[[Information technology]]
  
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==External links and references==
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#[https://en.wikipedia.org/wiki/Decision_support_system Decision Support System] in Wikipedia
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#[https://inis.iaea.org/search/searchsinglerecord.aspx?recordsFor=SingleRecord&RN=20006309 Intelligent decision support systems for nuclear power plants in Japan]
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#[http://onlinelibrary.wiley.com/doi/10.1002/9781118785317.weom070211/abstract;jsessionid=2FCA2A1461FE4E6A8E9F2832498B6E4E.f04t03?userIsAuthenticated=false&deniedAccessCustomisedMessage= Decision Support Systems]
  
[[Category:Tools]]
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[[Category:Artificial Intelligence]]

Latest revision as of 15:53, 7 March 2016

Definition

A class of computer based information systems including knowledge based systems that support decision making activities


Purpose & benefits

The purpose of a Decision Support System (DSS) is to improve and support decision making within the organization. It facilitates that automation of routine decisions, and provides useful, supporting information for more complex, non-routine decision making.

Description

Decision support systems (DSS) are a class of computerized information system that support decision-making activities. Decision support systems are designed artifacts that have specific functionality.

Decision Support System types include i) communications-driven, ii) data-driven, iii) document-driven, iv) knowledge-driven, and v) model-driven systems. Communications technologies are central to communications-driven DSS for supporting decision-making.

Data-driven DSS provide access to large data stores and analytics to create information. Document-driven DSS use documents to provide information for decision making. Knowledge-driven DSS are sometimes generically called expert systems or recommender systems. Model-driven DSS use quantitative models for functionality and have been called model-oriented DSS and computationally oriented DSS. The term knowledge management system (KMS) encompasses both document and knowledge-driven DSS.

From Decision Support Systems

Variations

Decision Support Systems have evolved/merged into other types of technology solutions, e.g. Big data, Business Intelligence, and (automated) workflow systems.

Implementation guide

See the [Implementation guide] in the Information technology article.

Success factors

See the [Success factors] in the Information technology article.

Common pitfalls

See the [Common pitfalls] in the Information technology article.

Related articles

Big data

Information technology

External links and references

  1. Decision Support System in Wikipedia
  2. Intelligent decision support systems for nuclear power plants in Japan
  3. Decision Support Systems