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Part of book or chapter of book . 2010 . Peer-reviewed
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Optimization of Linear Objective Function under Fuzzy Equation Constraint in BL − Algebras – Theory, Algorithm and Software

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2010Publisher:Springer Berlin Heidelberg
Authors: Ketty Peeva; Dobromir Petrov;

doi: 10.1007/978-3-642-13428-9_20

Optimization of Linear Objective Function under Fuzzy Equation Constraint in BL − Algebras – Theory, Algorithm and Software

Abstract

We study optimization problem with linear objective function subject to fuzzy linear system of equations as constraint, when the composition is in f − − →in BL - algebra. The algorithm for solving fuzzy linear system of equations is provided by algebraic-logical properties of the solutions. We present algorithms for computing the extremal solutions of fuzzy linear system of equations and implement the results for solving the linear optimization problem.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
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