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Сергиенко, И. В.; Parasyuk, I. N.; Kaspshitskaya, M. F.

doi:10.1023/a:1024731004624

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…It is assumed that the DM has fuzzy goals for each of the objective func-tions (6). As a result, the DM considers that the fuzzy objective function J 1 should be substantially greater than or equal to the threshold interval 1 1 [ ] L U J J .…”

Section: Fuzzy-decision-making Problemsmentioning

confidence: 99%

“…The competition between multiple objective functions is a key distinction between multiple objective optimisation and traditional single objective optimisation. [5][6][7] A Pareto optimisation technique has been used in study 8 to locate the optimal conditions for an integrated bioprocessing sequence. The benefits of first reducing the feasible space by development provide a smaller search area for the optimisation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling and Fuzzy-Decision-Making of Batch Cultivation of Saccharomyces cerevisiae using Different Mixing Systems

Petrov

Ilkova

2015

Chem.Biochem.Eng.Q.

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This study is focussed on the modelling and fuzzy-decision-making of impulse mixing and vibromixing for a Saccharomyces cerevisiae batch cultivation. Different substrate inhibition models (Monod, Aiba, Andrews, Haldane, Luong, Edward, and Han-Levenspiel) have been considered in order to explain the cell growth kinetics. The results obtained (correlation coefficient, Fisher coefficient, relative error and statistics l) show that all growth rate models are adequate and can be used for modelling. The investigations have shown that the most suitable for both mixing systems (according to the best statistical indicators) is the Luong growth rate model, which will be used for the process modelling. A fuzzy-decision-making procedure is developed with the initial conditions (maximal rotation speed for the impulse mixing and maximal amplitude for the vibromixing systems). The developed optimisation and results obtained have shown that the impulse mixing systems have better productiveness and better glucose assimilation. In addition, it is easier to realize this system.

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Section: Fuzzy-decision-making Problemsmentioning

confidence: 99%