A dual simplex method for grey linear programming problems based on duality results

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Publicado en:Grey Systems vol. 10, no. 2 (2020), p. 145-157
Autor Principal: Davood Darvishi Salookolaei
Outros autores: Seyed Hadi Nasseri
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Emerald Group Publishing Limited
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Acceso en liña:Citation/Abstract
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024 7 |a 10.1108/GS-10-2019-0044  |2 doi 
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100 1 |a Davood Darvishi Salookolaei 
245 1 |a A dual simplex method for grey linear programming problems based on duality results 
260 |b Emerald Group Publishing Limited  |c 2020 
513 |a Journal Article 
520 3 |a 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 authors prove the complementary slackness theorem for grey linear programming problem and the associated dual problem.Originality/valueComplementary slackness theorem for grey linear programming is first presented and proven. After that, a dual simplex method in grey environment is introduced and then some useful concepts are presented. 
653 |a Linear programming 
653 |a Theorems 
653 |a Simplex method 
653 |a Decision making 
653 |a Optimization 
653 |a System theory 
700 1 |a Seyed Hadi Nasseri 
773 0 |t Grey Systems  |g vol. 10, no. 2 (2020), p. 145-157 
786 0 |d ProQuest  |t ABI/INFORM Global 
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