Uncertain random multilevel programming with application to production control problem
For modeling decentralized decision-making problems with uncertain random parameters, an uncertain random multilevel programming is proposed. For some special case, an equivalent crisp mathematical programming to the established uncertain random programming is presented. A searching method by integr...
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| Veröffentlicht in: | Soft computing (Berlin, Germany) Germany), 2015-06, Vol.19 (6), p.1739-1746 |
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| container_title | Soft computing (Berlin, Germany) |
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| creator | Ke, Hua Su, Taoyong Ni, Yaodong |
| description | For modeling decentralized decision-making problems with uncertain random parameters, an uncertain random multilevel programming is proposed. For some special case, an equivalent crisp mathematical programming to the established uncertain random programming is presented. A searching method by integrating uncertain random simulations, neural network, and genetic algorithm is produced to search the quasi-optimal solution under some decision-making criterion. Finally, the proposed uncertain random multilevel programming is applied to a production control problem. |
| doi_str_mv | 10.1007/s00500-014-1361-2 |
| format | Article |
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| ispartof | Soft computing (Berlin, Germany), 2015-06, Vol.19 (6), p.1739-1746 |
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| subjects | Algebra Algorithms Artificial Intelligence Computational Intelligence Control Decision making Engineering Expected values Fuzzy sets Genetic algorithms Mathematical Logic and Foundations Mathematical programming Mechatronics Methodologies and Application Multilevel Neural networks Parameter uncertainty Production controls Random variables Robotics Set theory |
| title | Uncertain random multilevel programming with application to production control problem |
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