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Decision Support Systems and Expert Systems. Al Bento University of Baltimore. Intelligence. Design. Choice. Decision-Making Model. problem definition. alternatives. resolution. Decision type. STRUCTURED. SEMI-STRUCTURED. UNSTRUCTURED. Intelligence. no knowledge. no knowledge.
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Decision Support Systems and Expert Systems Al Bento University of Baltimore
Intelligence Design Choice Decision-Making Model problem definition alternatives resolution
Decision type STRUCTURED SEMI-STRUCTURED UNSTRUCTURED Intelligence no knowledge no knowledge knowledge of one or two Design of all of any of the Choice steps steps steps IQS DSS TPS
Specific DSS DSS DSS generators USERS tools technical DSS intermediary Generator support DSS Builder managers, users manager toolsmith
Anatomy of a DSS model base data base MBMS DBMS DSS generator DGMS dialog,user interface users
Dialog styles • Basic types • Q&A - Question and answer • Command language • Menu • Input Form/Output Form • Input-in-Context-of-Output • Pros and cons • Mixed dialogs
GDSS - Group Decision Support Systems • DSS plus: • Communications server • Groupware • Facilities LAN decision network WAN decision network high Decision frequency Decision room Teleconferencing low close far
Executive Information Systems • present information for top management • supports problem/opportunity discovery and assessment • is used for control andstrategic planning • are multimedia systems • provide summary and detailed information, with the ability to "drill down" into the data • provide internal and external information • provide different time and space information
Expert systems ...an intelligent computer program that uses knowledge and inference procedures to solve problems that require significant human expertise for their solution. The knowledge of an expert systems consists of facts and heuristics. Facts constitute the body of information publicly available and agreed upon by experts in a field. Heuristics are mostly private rules of good judgement that characterize expert-level decision making in a field. E. Feigenbaum, Stanford University
plan agenda solution USER Knowledge base Anatomy of an expert system facts language processor rules justifier Inference engine Blackboard interpre- ter schedu- ler consistency enforcer
Use and development of ES • Expert systems products • Expert systems shells • Expert systems players • knowledge user • knowledge engineer • domain expert