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Probabilistic and fuzzy methods for information fusion in data mining
Author(s) -
Randon N. J.,
Lawry J.
Publication year - 2003
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.10105
Subject(s) - computer science , data mining , probabilistic logic , fuzzy logic , artificial intelligence , information fusion , machine learning , information extraction , uncertain data , sensor fusion
With the wealth of information available in the world today the challenge of how to extract information from several data sources in an intuitive and transparent manner has emerged in machine learning. This article describes a method for learning models from a database using linguistic descriptions on fuzzy sets and fusion methods in a data‐mining framework. It focuses on AND/OR combination functions and shows how these can be optimized for knowledge extraction and classification of data. © 2003 Wiley Periodicals, Inc.