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A knowledge sorting process for a product design expert system
Author(s) -
Chen ChunHsien,
Occenã Luis G.
Publication year - 1999
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 - 10.1111/1468-0394.00106
Subject(s) - computer science , sorting , domain knowledge , expert system , process (computing) , identification (biology) , legal expert system , knowledge extraction , domain (mathematical analysis) , knowledge representation and reasoning , artificial intelligence , machine learning , data mining , mathematical analysis , botany , mathematics , biology , programming language , operating system
Knowledge sorting is one way to organize the knowledge acquired from the domain expert(s) and various sources. Well‐organized knowledge representation will make rule extraction much easier. This paper describes a knowledge sorting process that was developed to facilitate the rule extraction for a product design expert system. The process capitalizes on the relationships between design attributes and factors, dependent and independent variables, and consists of three stages: identification of knowledge sources, generation of taxonomic trees, and organization of acquired knowledge. An example applies the sorting process to the development of an expert system for the design of wood head golf clubs.