Extremal Fuzzy Dynamic Systems Theory and Applications /
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...
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| Language: | English |
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New York, NY :
Springer New York : Imprint: Springer,
2013.
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| Edition: | 1st ed. 2013. |
| Series: | IFSR International Series in Systems Science and Systems Engineering,
28 |
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| Online Access: | https://doi.org/10.1007/978-1-4614-4250-9 |
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 EFDS’s Finite Model.- General Conclusions
- Bibliography.