Information aggregation in intelligent systems: An application oriented approach

Authors:
Imre J. Rudas;Endre Pap;JáNos Fodor
Affiliations:
íbuda University, Institute of Intelligent Engineering Systems, Becsi út 96/B, H-1034 Budapest, Hungary;íbuda University, Institute of Intelligent Engineering Systems, Becsi út 96/B, H-1034 Budapest, Hungary and University of Novi Sad, Trg Dositeja Obradovica 4, 21000 Novi Sad, Serbia and ...;íbuda University, Institute of Intelligent Engineering Systems, Becsi út 96/B, H-1034 Budapest, Hungary
Venue:
Knowledge-Based Systems
Year:
2013

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Abstract

This paper offers a comprehensive study of information aggregation in intelligent systems prompted by common engineering interest. After a motivating introduction we consider aggregation functions and their fundamental properties as a basis for further development. Four main classes of aggregation functions are identified, and important subclasses are described and characterized as prototypes. For practical purposes, we outline two procedures to identify aggregation function that fits best to empirical data. Finally, we briefly recall some applications of aggregation functions in decision making, utility theory, fuzzy inference systems, multisensor data fusion, image processing, and their hardware implementation.