Fuzzy Sets and Generalized Boolean Retrieval Systems
Article Abstract:
The use of fuzzy set theory in information retrieval is reviewed. The fuzzy set method allows non-Boolean weights to be attached to documents and to queries. The Boolean lattice structure presents some problems with preservation with the fuzzy set approach. A query threshold approach is suggested. The fuzzy model is the beginning of a generalization of information retrieval models. Performance evaluation measurements are needed for generalized retrieval systems.
Publication Name: International Journal of Man-Machine Studies
Subject: Engineering and manufacturing industries
ISSN: 0020-7373
Year: 1983
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Generalized Boolean Methods of Information Retrieval
Article Abstract:
Standard information retrieval systems are based on set theory and binary logic. Fuzzy set theory and fuzzy logic enables such systems to include the importance of index terms in representations and queries. Three such generalized Boolean information retrieval systems are discussed. Their advantages and disadvantages and their relationships to set theories and logic are presented. The importance of fuzzy sets and fuzzy logic is discussed. Examples are included.
Publication Name: International Journal of Man-Machine Studies
Subject: Engineering and manufacturing industries
ISSN: 0020-7373
Year: 1983
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Expert Systems and Information Retrieval: An Experiment in the Domain of Biographical Data Management
Article Abstract:
An expert system in the field of biographical data management is discussed, including an example of coding. The charactistics of the metalanguage are explored, as its predictive planes, logic of planes, the lexicon, and historical capabilities. Its inference rules, search model concepts, transformations and hypotheses are explained. Inference operations can change the original data base.
Publication Name: International Journal of Man-Machine Studies
Subject: Engineering and manufacturing industries
ISSN: 0020-7373
Year: 1984
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