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Construction of aggregation functions from data using linear programming

Authors :
Beliakov, Gleb
Source :
Fuzzy Sets & Systems. Jan2009, Vol. 160 Issue 1, p65-75. 11p.
Publication Year :
2009

Abstract

Abstract: This article examines the construction of aggregation functions from data by minimizing the least absolute deviation criterion. We formulate various instances of such problems as linear programming problems. We consider the cases in which the data are provided as intervals, and the outputs ordering needs to be preserved, and show that linear programming formulation is valid for such cases. This feature is very valuable in practice, since the standard simplex method can be used. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01650114
Volume :
160
Issue :
1
Database :
Academic Search Index
Journal :
Fuzzy Sets & Systems
Publication Type :
Academic Journal
Accession number :
34891391
Full Text :
https://doi.org/10.1016/j.fss.2008.07.004