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Information Sciences
Volume 178, Issue 4, 15 February 2008, Pages 1133-1140
 
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doi:10.1016/j.ins.2007.09.023    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2007 Elsevier Inc. All rights reserved.

Weighted aggregation operators based on minimization

Radko Mesiara, E-mail The Corresponding Author, Jana Špirkováb, Corresponding Author Contact Information, E-mail The Corresponding Author and Lucia Vavríkováa, E-mail The Corresponding Author

aDepartment of Mathematics, Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, 813 68 Bratislava, Slovakia bDepartment of Quantitative Methods and Information Technology, Faculty of Economics, Matej Bel University, Tajovského 10, 975 90 Banská Bystrica, Slovakia

Received 28 May 2007; 
revised 21 August 2007; 
accepted 26 September 2007. 
Available online 1 October 2007.

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Abstract

Minimization based aggregation operators Ag,D are discussed. Special attention is paid to weighting function g based cases related to some fixed dissimilarity function D. When D2(x,y)=(x-y)2, we recognize mixture operators and we recall some sufficient conditions for g ensuring the monotonicity of Ag,D. For D1(x,y)=|x-y| and non-decreasing (non-increasing) g, Ag,D is shown to be the upper (lower) median whenever Ag,D is an aggregation operator.

Keywords: Aggregation operator; Dissimilarity function; Mixture operator; Weighting function; Upper median; Lower median

Article Outline

1. Introduction and preliminaries
2. Operators based on weighting functions and dissimilarity functions
3. Mixture operators
4. Medians
5. Conclusion
Acknowledgements
References



Information Sciences
Volume 178, Issue 4, 15 February 2008, Pages 1133-1140
 
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