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Completing rule bases in symbolic domains by analogy making

By Henri Prade and Steven Schockaert

Abstract

The paper considers the problem of completing a set of parallel if-then rules that provides a partial description of how a conclusion variable depends on the values of condition variables, where each variable takes its value among a finite ordered set of labels. The proposed approach does not require the use of fuzzy sets for the interpretation of these labels or for defining similarity measures, but rather relies on the extrapolation of missing rules on the basis of analogical proportions that hold for each variable between the labels of several parallel rules. The analogical proportions are evaluated for binary and multiple-valued variables on the basis of a logical expression involving Lukasiewicz implication. The underlying assumption is that the mapping partially specified by the given rules is as regular as suggested by these rules. A comparative discussion with other approaches is presented

Topics: QA75 Electronic computers. Computer science, QA76 Computer software
Publisher: Atlantis Press
Year: 2011
DOI identifier: 10.2991/eusflat.2011.76
OAI identifier: oai:http://orca.cf.ac.uk:31839
Provided by: ORCA
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