2013
DOI: 10.1007/s10559-013-9554-8
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Optimization Problems with Interval Uncertainty: Branch and Bound Method

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Cited by 5 publications
(7 citation statements)
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“…Since the first term in expression 10is an additive function of the quantities xG,i, Ep,i, and which have a Gaussian membership function [4], then R1 will also have a Gaussian membership function [6]…”
Section: Main Researchmentioning
confidence: 99%
“…Since the first term in expression 10is an additive function of the quantities xG,i, Ep,i, and which have a Gaussian membership function [4], then R1 will also have a Gaussian membership function [6]…”
Section: Main Researchmentioning
confidence: 99%
“…Since inequalities(8) hold, according to Corollary 1 of Theorem 1, point m( ) * X is the unique minimal of problem(14). Therefore, for any solutionX of problem (10) conditions (13) are satisfied.…”
mentioning
confidence: 92%
“…However, wide bibliography is devoted to solving optimization problems with regard for various types of uncertainty, including probabilistic one [8][9][10][11][12][13]. These trends are combined, for example, in [14][15][16][17], where the solution of combinatorial optimization problems with interval or fuzzy uncertainty is considered.…”
Section: Introductionmentioning
confidence: 99%
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