Journal
KNOWLEDGE-BASED SYSTEMS
Volume 38, Issue -, Pages 3-13Publisher
ELSEVIER
DOI: 10.1016/j.knosys.2012.07.025
Keywords
Aggregation function; Mean; Triangular norm; Uninorm; Decision making; Fuzzy inference system; Multisensor data fusion; Image approximation
Categories
Funding
- OTKA Fund for Research of the Hungarian Government NKTH-OTKA [K68029]
- Mathematical models of intelligent systems and their applications of Academy of Sciences and Arts of Vojvodina
- Provincial Secretariat for Science and Technological Development of Vojvodina
- OTKA [K063405]
- [MPNRS 174009]
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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. (c) 2012 Elsevier B.V. All rights reserved.
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