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<p>Describes a question-answering system based on fuzzy logic. The proposed system provides the capability to assess whether a database contains information pertinent to a subject of interest by evaluating each comment in the database via a fuzzy evaluator that attributes a fuzzy membership value indicating its relationship to the subject. An assessment is provided for the database as a whole regarding its pertinence to the subject of interest, and consequently comments that are considered irrelevant to the subject may be discarded. The system has been developed for the examination of databases that were created during the development of the IBM 4381 computer systems, for bookkeeping purposes, to assess whether such databases contain information pertinent to the functional changes that occurred during the development cycle. The system, however, can be applied with minimal changes to a variety of circumstances, provided that the fundamental assumptions for the development of the membership functions are respected in the new application. Its applicability, without modifications, assuming the same subject of interest, is granted for databases comprising similar characteristics to that of the original database for which the system has been developed.</p>
inference mechanisms; fuzzy logic; uncertainty handling; query processing; deductive databases; fuzzy set theory; fuzzy reasoning; database question answering system; fuzzy logic; pertinent information; comment evaluation; fuzzy evaluator; fuzzy membership value; subject relationship; IBM 4381 computer systems; bookkeeping; functional changes; software development cycle; membership functions; applicability; approximate reasoning; fuzzy sets; database evaluation
S. Vassiliadis, G. Triantafyllos, W. Kobrosly, "A Fuzzy Reasoning Database Question Answering System", IEEE Transactions on Knowledge & Data Engineering, vol. 6, no. , pp. 868-882, December 1994, doi:10.1109/69.334878
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