sYMPOSIUM #6: Mathematical Modeling in Fuzzy-Structured Space

Irina Perfilieva¹, Alireza Khastan², Stefania Tomasiello³

¹University of Ostrava, Czechia, irina.perfilieva at osu.cz

²Institute for advanced studies in basic sciences (IASBS), Zanjan, Iran, Khastan at iasbs.ac.ir

³Institute of Computer Science, University of Tartu, Estonia, stefania.tomasiello at ut.ee

Description:

Fuzzy Modeling is a modern scientific discipline that benefits of mathematics focused on ill-defined or vaguely specified problems. It is based on the concept of fuzzy set, introduced by Lotfi A. Zadeh in 1965, and characterized by its membership function. This complex discipline began to be promoted not only in many application areas, but in many areas of human knowledge and cognition in general. As a mathematical discipline fuzzy modeling is based on operations from a semi-linear space, residuated lattice, etc. Models are formulated using fuzzy relational calculus, fuzzy differential calculus, fuzzy transforms, etc. The aim of this special session is to provide a forum for discussion the latest  achievements in the development of fuzzy models as well as their applications to dynamical systems, image processing and neural networks.

Scope and Topics include, but not restricted to:

• Theoretical aspects of fuzzy sets and systems
• Fuzzy approximations, fuzzy arithmetic and fuzzy data analysis
• Fuzzy Transforms and its applications
• Differential and integral equations with uncertainty
• Fuzzy modeling with applications to human language processin
• Fuzzy modeling and machine learning
• Computational intelligence founded methodologies, tools and techniques