Integrating Expert Systems and Decision Support Systems.

Author List: Turban, Efraim; Watkins, Paul R.;
MIS Quarterly, 1986, Volume 10, Issue 2, Page 121-136.
Expert systems are emerging as a powerful tool for decision making. Integrating expert systems with decision support systems may enhance the quality and efficiency of both computerized systems. This article examines possible connections between the two technologies and discusses some issues related to their integration. The objective of this article is to describe and discuss some issues of DSS/ES integration. Attaining this goal will be difficult for the following reasons. First, there is no consensus on what an ES is, and what constitutes a DSS [8]. Second, there are varying opinions regarding the potential for integration of these technologies. This paper will summarize the current state of DSS/ES integration, and present two frameworks for integration: ES integration into the conventional DSS components,. Expert systems are emerging as a powerful tool for decision making. Integrating expert systems with decision support systems may enhance the quality and efficiency of both computerized systems. This article examines possible connections between the two technologies and discusses some issues related to their integration. The objective of this article is to describe and discuss some issues of DSS/ES integration. Attaining this goal will be difficult for the following reasons. First, there is no consensus on what an ES is, and what constitutes a DSS [8]. Second, there are varying opinions regarding the potential for integration of these technologies. This paper will summarize the current state of DSS/ES integration, and present two frameworks for integration: ES integration into the conventional DSS components.
Keywords: artificil intelligence; database; decision support systems; Expert systems; interactive; natural language processors
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#106 0.379 integration present offer processes integrating current discuss perspectives related quality literature integrated benefits measures potential regarding issues finally taken propose
#113 0.219 support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user paper findings systems.decision components computer-based
#179 0.131 technologies technology new findings efficiency deployed common implications engineers conversion change transformational opportunity deployment make making improve powerful choosing enhance
#193 0.082 time use size second appears form larger benefits combined studies reasons selected underlying appear various significantly result include make attention
#129 0.081 expert systems knowledge knowledge-based human intelligent experts paper problem acquisition base used expertise intelligence domain inductive rules machine artificial task
#63 0.070 mis problems article systems management edp managers organizations ;br> data survey application examines need experiences recent organization reports departments oriented