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Fusing object information and peer information
Author(s) -
Yager Ronald R.,
Petry Frederick E.
Publication year - 2001
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.1067
Subject(s) - computer science , information fusion , object (grammar) , information quality , representation (politics) , task (project management) , artificial intelligence , process (computing) , information integration , function (biology) , fuzzy logic , data mining , information retrieval , information system , management , evolutionary biology , politics , biology , law , political science , electrical engineering , economics , engineering , operating system
Abstract We consider the problem of information fusion, specifically the task of fusing information from two different categories, information which is directly about an object of interest (OBJOIN information) and information about related objects (peer information). We discuss the representation of these different types of information, the first in terms of a possibilistic distribution and the second in terms of a probability distribution. We introduce an approach to information fusion based upon the use of the fuzzy modeling technology. In this approach we represent the fusion function in terms of rules which indicate when to use the different types of information. Particularly notable here is the role of information quality as a guiding factor in the fusion process. © 2001 John Wiley & Sons, Inc.