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Issue:Modelling of temperature control system in fermentation processes using generalized nets and intuitionistic fuzzy logics: Difference between revisions

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  | abstract        = A model of temperature control system in fermentation processes based on the
  | abstract        = A model of temperature control system in fermentation processes based on the apparatus of the generalized nets is developed and presented in this paper. Generalized nets are preliminary proved to be an appropriate tool for description of biotechnological processes biochemical variables. Here we are modelling the temperature control outline in fermentation processes, which allows control feed value in cooling, as well as in heating input channel. Intuitionistic fuzzy logic is also implemented in the developed generalized model in order to reflect the degree of uncertainty which is typical for measurements of biotechnological variables, such as temperature. The application of intuitionistic fuzzy logic leads to the significant decrease of the measurement error influence.
apparatus of the generalized nets is developed and presented in this paper. Generalized nets are preliminary proved to be an appropriate tool for description of biotechnological processes biochemical variables. Here we are modelling the temperature control outline in fermentation processes, which allows control feed value in cooling, as well as in heating input channel. Intuitionistic fuzzy logic is also implemented in the developed generalized model in order to reflect the degree of uncertainty which is typical for measurements of biotechnological variables, such as temperature. The application of intuitionistic fuzzy logic leads to the significant decrease of the measurement error influence.
   | keywords = Temperature Control Outline, Modelling, Generalized Nets, Intuitionistic Fuzzy Logic
   | keywords = Temperature Control Outline, Modelling, Generalized Nets, Intuitionistic Fuzzy Logic
  | references      =  
  | references      =  

Latest revision as of 11:20, 9 August 2024

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http://ifigenia.org/wiki/issue:nifs/11/4/151-157
Title of paper: Modelling of temperature control system in fermentation processes using generalized nets and intuitionistic fuzzy logics
Author(s):
Olympia Roeva
Centre of Biomedical Engineering “Prof. Ivan Daskalov” - Bulgarian Academy of Sciences, 105, Acad. G. Bonchev Str., Sofia 1113, Bulgaria
olympia@clbme.bas.bg
Tania Pencheva
Centre of Biomedical Engineering “Prof. Ivan Daskalov” - Bulgarian Academy of Sciences, 105, Acad. G. Bonchev Str., Sofia 1113, Bulgaria
tania.pencheva@clbme.bas.bg
Isabel Bentes
CETAV - University of Tras-os-Montes e Alto Douro, Ap. 1014, 5001-911 Vila Real, Portugal
ibentes@utad.pt
Maria Manuel Nascimento
CEGE - University of Tras-os-Montes e Alto Douro, Ap. 1014, 5001-911 Vila Real, Portugal
mmsn@utad.pt
Presented at: 9th International Conference on Intuitionistic Fuzzy Sets, Sofia, 7-8 May 2005
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 11 (2005), Number 4, pages 151-157
Download:  PDF (3738  Kb, File info)
Abstract: A model of temperature control system in fermentation processes based on the apparatus of the generalized nets is developed and presented in this paper. Generalized nets are preliminary proved to be an appropriate tool for description of biotechnological processes biochemical variables. Here we are modelling the temperature control outline in fermentation processes, which allows control feed value in cooling, as well as in heating input channel. Intuitionistic fuzzy logic is also implemented in the developed generalized model in order to reflect the degree of uncertainty which is typical for measurements of biotechnological variables, such as temperature. The application of intuitionistic fuzzy logic leads to the significant decrease of the measurement error influence.
Keywords: Temperature Control Outline, Modelling, Generalized Nets, Intuitionistic Fuzzy Logic
References:
  1. Atanassov K., Intuitionistic Fuzzy Sets, Springer, Heidelberg, 1999.
  2. Atanassov K., Generalized Nets, World Scientific, Singapore, New Jersey, London, 1991.
  3. Shannon A., O. Roeva, T. Pencheva, K. Atanassov, Generalized Nets Modelling of Biotechnological Processes, “Marin Drinov” Publishing House of Bulgarian Academy of Sciences, Sofia, 2004.
  4. Tzonkov St., D. Filev, I. Simeonov, L. Vaklev, Control of Biotechnological Processes, Technika, Sofia, 1992.
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