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Construction of aggregation operators for automated decision making via optimal interpolation and global optimization

Beliakov, Gleb 2007, Construction of aggregation operators for automated decision making via optimal interpolation and global optimization, Journal of industrial and management optimization, vol. 3, no. 2, pp. 193-208.

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Title Construction of aggregation operators for automated decision making via optimal interpolation and global optimization
Author(s) Beliakov, Gleb
Journal name Journal of industrial and management optimization
Volume number 3
Issue number 2
Start page 193
End page 208
Publisher American Institute of Mathematical Sciences
Place of publication Springfield, Mo.
Publication date 2007
ISSN 1547-5816
Keyword(s) aggregation operators
fuzzy logic
global optimization
scattered data interpolation
Summary This paper examines methods of point wise construction of aggregation operators via optimal interpolation. It is shown that several types of application-specific requirements lead to interpolatory type constraints on the aggregation function. These constraints are translated into global optimization problems, which are the focus of this paper. We present several methods of reduction of the number of variables, and formulate suitable numerical algorithms based on Lipschitz optimization.
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2007, American Institute of Mathematical Sciences
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007155

Document type: Journal Article
Collections: School of Engineering and Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.