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This work addresses the fuzzy optimization of biochemical systems expressed with the S-system form under uncertainty. Considering the uncertainty of the kinetic order and rate constant parameters of the S-system form, a fuzzy optimization model is firstly established. This proposed problem is a fuzzy linear programming and is then turned into a determined optimization problem. The new problem can...
Fuzzy linear programming in portfolio selection is considered. Much attention is given to minimax regret criterion which allows minimizing the worst regret that may be undertaken by the decision maker. Regret-analysis is applied to get an optimal portfolio of branch indices.
In this study, a multistage scenario-based inexact fuzzy-stochastic chance-constrained programming (MSIFSCCP) is proposed for water resources management under uncertainty. The developed a hybrid inexact optimization approach integrates multistage scenario-based interval-stochastic programming (MSISP), chance-constrained programming (CCP) and fuzzy-stochastic linear programming (FSLP) within a general...
In this paper, a multi-product multi-echelon remanufacturing logistics network based on forward flows is designed. A fuzzy mixed integer linear programming (FMILP) model is developed accounting for the uncertainty of the quantities of returned products as fuzzy parameters. Regarding the quantity of the returned products as triangle fuzzy parameter, the proposed model is solved by converting fuzzy...
In this study, an interval-parameter multi-stage stochastic chance-constrained mixed integer programming (IMSCMIP) method has been developed for inter-basin water resources management systems under uncertainty. By incorporating the chance-constrained programming (CCP) techniques, and mixed integer programming within an interval-parameter multi-stage stochastic programming framework, the model improves...
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