Development of Fuzzy Logic-based Arithmetic and Visual Representations for systems' modelling and optimization of interconnected networks

  • Authors:
  • Walaa Ibrahim Mahmoud Gabr;Hassen Taher Dorrah

  • Affiliations:
  • Automatic Control and Systems Engineering Group, Dept. of Electric Power and Machines Engineering, Faculty of Engineering, Cairo University, Giza, Egypt;Automatic Control and Systems Engineering Group, Dept. of Electric Power and Machines Engineering, Faculty of Engineering, Cairo University, Giza, Egypt

  • Venue:
  • ROBIO '09 Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics
  • Year:
  • 2009

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Abstract

The foundation of new Fuzzy Logic Level Arithmetic and Visual representations, normalized fuzzy matrices, and the principle of fuzzy logic-based level tracking were developed by Gabr and Dorrah for systems modelling and optimization during all stages of formulation and solution. This new concept has an unlimited scope of generalizations and extensions to many classes of problems and systems in various disciplines. In this paper, further development of the above concept to the modelling and multi-objective linear optimization of multi-stations operating interconnected network in a fully fuzzy environment is presented.