Solving linear programming problem with non-deterministic constraints using fuzzy numbers arithmetic
作者:
MIROSLAW KWIESIELEWICZ,
LONGIN STOLC,
期刊:
International Journal of Systems Science
(Taylor Available online 1989)
卷期:
Volume 20,
issue 4
页码: 587-595
ISSN:0020-7721
年代: 1989
DOI:10.1080/00207728908910152
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The concept of solving the linear programming problem with non-deterministic constraints is presented in this paper. It is assumed that the right-hand sides of the constraints are fuzzy numbers, and the problem is solved for their mean values. Furthermore, a fuzzy solution of the problem is specified for the optimal basis of the linear programming problem with mean values. A solution feasibility measure is introduced. When the measure is too small, another feasible solution of the problem for the mean values is chosen, which is non-optimal and which corrects the feasibility of the fuzzy problem with simultaneous deterioration of the goal function value.
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