NDLI: A dual approach to solve fuzzy quadratic programming problems

Content Provider	IEEE Xplore Digital Library
Author	Silva, R.C. Yamakami, A.
Copyright Year	2011
Description	Author affiliation: Department of Telematics, School of Electrical and Computer Engineering, University of Campinas, av. Albert Einstein, 400, 13083-852, Campinas, SP, Brazil (Silva, R.C.; Yamakami, A.)
Abstract	Although quadratic programming can be defined as a specific class of non-linear programming, it can also be used to generalize linear programming. Therefore, one can find many applications in quadratic in real world problems. Inaccuracies are also found in a natural way in real life situations that require realistic solutions. Fuzzy logic has to deal with the uncertainties inherent in this situation. The initiative to shape the inaccuracies in real life optimization problems is applied in an increasing variety of practical fields. Knowing the importance of this problem, the purpose of this work is to present a new dual approach in fuzzy environment. It solves quadratic programming problems with uncertain order relation in the set of constraints. The approach proposal is implemented in two theoretical numerical examples, which show their efficiency.
Starting Page	1
Ending Page	6
File Size	689169
Page Count	6
File Format	PDF
ISBN	9781612849683
e-ISBN	9781612849683
e-ISBN	9781612849676
DOI	10.1109/NAFIPS.2011.5752046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quadratic programming Programming Symmetric matrices Uncertainty Proposals Linear programming Transforms
Content Type	Text
Resource Type	Article

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