Design Considerations of Time in Fuzzy Systems

Specificaties
Paperback, 475 blz. | Engels
Springer US | 0e druk, 2013
ISBN13: 9781461371151
Rubricering
Springer US 0e druk, 2013 9781461371151
Onderdeel van serie Applied Optimization
€ 192,99
Levertijd ongeveer 8 werkdagen

Samenvatting

Fuzzy theory is an interesting name for a method that has been highly effective in a wide variety of significant, real-world applications. A few examples make this readily apparent. As the result of a faulty design the method of computer-programmed trading, the biggest stock market crash in history was triggered by a small fraction of a percent change in the interest rate in a Western European country. A fuzzy theory ap­ proach would have weighed a number of relevant variables and the ranges of values for each of these variables. Another example, which is rather simple but pervasive, is that of an electronic thermostat that turns on heat or air conditioning at a specific temperature setting. In fact, actual comfort level involves other variables such as humidity and the location of the sun with respect to windows in a home, among others. Because of its great applied significance, fuzzy theory has generated widespread activity internationally. In fact, institutions devoted to research in this area have come into being. As the above examples suggest, Fuzzy Systems Theory is of fundamen­ tal importance for the analysis and design of a wide variety of dynamic systems. This clearly manifests the fundamental importance of time con­ siderations in the Fuzzy Systems design approach in dynamic systems. This textbook by Prof. Dr. Jernej Virant provides what is evidently a uniquely significant and comprehensive treatment of this subject on the international scene.

Specificaties

ISBN13:9781461371151
Taal:Engels
Bindwijze:paperback
Aantal pagina's:475
Uitgever:Springer US
Druk:0

Inhoudsopgave

List of Figures. List of Tables. Preface. Acknowledgments. Part I: The Fundamentals of Fuzzy and Possibilistic Logic. 1. Fuzziness and its Measure. 2. Fuzzy Operations and Relations. 3. Fuzzy Functions. 4. Fuzzy Algorithms. 5. Process of Fuzzy Inference. 6. Possibilistic Logic. Part II: Fuzzy Temporal Logic. 7. Temporality of Propositions. 8. Fuzziness of Time. 9. Temporality in Fuzzy Inference Machines. 10. Graphs of Fuzzy Dates. Part III: Fuzzy Sets Computation, Representation and Simulation. 12. Matlab Simulations of Fuzzy Circuits. Part IV: Programs. Appendices. References. Index.
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        Design Considerations of Time in Fuzzy Systems