2020
DOI: 10.1108/gs-10-2019-0044
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A dual simplex method for grey linear programming problems based on duality results

Abstract: PurposeFor extending the common definitions and concepts of grey system theory to the optimization subject, a dual problem is proposed for the primal grey linear programming problem.Design/methodology/approachThe authors discuss the solution concepts of primal and dual of grey linear programming problems without converting them to classical linear programming problems. A numerical example is provided to illustrate the theory developed.FindingsBy using arithmetic operations between interval grey numbers, the au… Show more

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Cited by 5 publications
(5 citation statements)
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“…It is assumed that A, B, C, and D in the left figure of Figure 4 are the occurrence points of microseisms. First, the w values of the four points are calculated by equation (22), and the point with the largest function value among the four points is found and removed according to the calcu-lation results. It is assumed that the maximum value of the function is point A.…”
Section: Principle and Methods Of Microseismic Monitoring Andmentioning
confidence: 99%
See 1 more Smart Citation
“…It is assumed that A, B, C, and D in the left figure of Figure 4 are the occurrence points of microseisms. First, the w values of the four points are calculated by equation (22), and the point with the largest function value among the four points is found and removed according to the calcu-lation results. It is assumed that the maximum value of the function is point A.…”
Section: Principle and Methods Of Microseismic Monitoring Andmentioning
confidence: 99%
“…Then, the above operations are repeated until the limit of the objective function or the constraint of the number of iterations is reached, and the process is over. At this time, the minimum point of the function value is the occurrence point of microseisms [22,23].…”
Section: Principle and Methods Of Microseismic Monitoring Andmentioning
confidence: 99%
“…However, in the grey systems, since in some cases the grey numbers may not be comparable with second part of Definition 6. For ⊗[0, 3] ≤ ⊗ [1,4], but we can not directly compare two grey numbers ⊗[0, 4] and ⊗ [1,2] by using Definition 6. Therefore, in a network may exist two paths between two vertices that can not compare their lengths.…”
Section: Definitionmentioning
confidence: 99%
“…Since then several approaches have been extended to solve some cases of grey linear programming models (see e.g. [13,18,17,3,4]). Recently, a comprehensive survey on grey linear programming has been presented by Darvishi et al [5].…”
mentioning
confidence: 99%
“…The authors conducted an analysis of the mathematical model of linear programming. The review of the mathematical model of linear programming [17] applied to solve the problem of business management of entrepreneurs IDPs includes two studies of mathematical programming, the essential and important elements are duality theorems [18].…”
Section: Introductionmentioning
confidence: 99%