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Using existing knowledge sources (cases) to build an expert system
Author(s) -
Chadha Sanjay R.,
Mazlack Lawrence J.,
Pick Roger Alan
Publication year - 1991
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1991.tb00244.x
Subject(s) - computer science , expert system , knowledge base , subject matter expert , class (philosophy) , selection (genetic algorithm) , legal expert system , context (archaeology) , knowledge management , domain (mathematical analysis) , set (abstract data type) , resolution (logic) , expert elicitation , knowledge based systems , data science , software engineering , artificial intelligence , paleontology , mathematical analysis , mathematics , biology , programming language , statistics
Abstract:A case study‐based approach was used to develop the knowledge base of an expert system for marketing media class selection. Cases, in the context of business learning, are detailed, written descriptions of business problems and their resolution. An expert system rule set was developed for media class selection using standardised business case studies. The system developed was validated using another set of case studies. Using case studies has two knowledge elicitation advantages: (1) the knowledge source is standardised and relatively unambiguous and (2) less domain expert involvement is required.