| Title of paper:
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InterCriteria Analysis in Structural and Parameter Identification of L-lysine Production Model
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| Author(s):
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| Tatiana Ilkova
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| Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
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| tanja@biomed.bas.bg
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| Olympia Roeva
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| Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
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| olympia@biomed.bas.bg
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| Peter Vassilev
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| Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
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| peter.vassilev@gmail.com
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| Mitko Petrov
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| Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
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| mpetrov@biomed.bas.bg
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| Published in:
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"Issues in Intuitionistic Fuzzy Sets and Generalized Nets", Volume 12 (2015/2016), pages 39-52
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| Download:
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 PDF (480 Kb, File info)
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| Abstract:
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In this paper we present the approach for multicriteria decision making – InterCriteria Analysis (ICA). ICA is based on the apparatus of the index matrices and the intuitionistic fuzzy sets. We apply its idea to establish the basic kinetic relations (the model structure) based on different criteria involved in the L-lysine production process. The L-lysine amino acid produces an important substance – carnitine found in the human heart, skeletal musculature, liver and brain. Based on the ICA we confirm a mathematical model of real lysine production process. The metaheuristic technique Genetic Algorithms is used for model parameters identification.
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| Keywords:
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InterCriteria analysis, Index matrices, Genetic algorithm, Carnitine, L-lysine.
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| References:
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