Extremal Fuzzy Dynamic Systems Theory and Applications /

• Main Author: Sirbiladze, Gia. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: IFSR International Series on Systems Science and Engineering, 28
• Subjects: Mathematics.; Artificial intelligence.; Computer simulation.; Systems theory.; Operations research.; Systems Theory, Control.; Simulation and Modeling.; Artificial Intelligence (incl. Robotics).; Measure and Integration.; Operations Research, Management Science.; Operation Research/Decision Theory.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-4250-9

In this book the author presents a new approach to the study of weakly structurable dynamic systems. It differs from other approaches by considering time as�a source�of fuzzy uncertainty in dynamic systems. It begins with a thorough introduction, where the general research domain, the problems, and...

Table of Contents:

• Fuzzy Measures and Fuzzy Statistics: Its Probability Representations
• Extended Extremal Fuzzy Measures
• Extended Extremal Fuzzy Measures on Compositional Product of Measurable Spaces
• Modeling of Extremal and Controllable Extremal Fuzzy Processes
• Identification of� Fuzzy-Integral Models of Extremal fuzzy Processes
• Optimization of Continuous Controllable Extremal Fuzzy Processes and the Choice of Decisions
• Problems of States Estimation (Filtration) of Extremal Fuzzy Processes. - Conclusions on the Parts I-VII
• Algorithms and software for Discrete Possibilistic EFDS
• Application �of the Discrete Possibilistic Model� of the EFDS in the Evaluation of� Expert Knowledge Streams
• Application: Forecasting of� Increasing Financial Risks (Credit Risks) of Georgia-based Organization (LTD-Fractal ) by the Discrete Possibilistic EFDSs Finite Model.-��General Conclusions
• Bibliography.