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Zusatztext "To cope with real world uncertainties and provide a philosophical and practical guide...several methodologies are presented..." (SciTech Book News! Vol. 25! No. 4! December 2001) Informationen zum Autor OLAF WOLKENHAUER, PhD, holds degrees from the University of Applied Sciences in Hamburg, Germany and the University of Portsmouth in England and received his doctorate in Control Engineering from the University of Manchester Institute of Science and Technology (UMIST). He currently holds joint lectureships at UMIST in the Department of Biomolecular Sciences and the Department of Electrical Engineering and Electronics (Control Systems Center). Klappentext Eines der wenigen Bücher, die die wichtigsten theoretischen und praktischen Werkzeuge zur Analyse komplexer Systeme auch für Nicht-Fachleute verständlich erklären! Das Material wurde einer erfolgreichen einschlägigen Vorlesung entnommen. Von einem ftp-Server können zugehörige MATLAB- und Mathematica-Tools und Simulationen abgerufen werden. Zusammenfassung There are many situations in science and engineering where complex output data from a given system is used to formulate a model of how that system operates, or to simulate its response to different inputs. Applications include control, decision theory, and the emerging fields of bioinformatics. Inhaltsverzeichnis Preface. Acknowledgments. Introduction. System Analysis. Uncertainty Techniques. Learning from Data: System Identification. Propositions as Subsets of the Data Space. Fuzzy Systems and Identification. Random-Set Modelling and Identification. Certain Uncertainty. Fuzzy Inference Engines. Fuzzy Classification. Fuzzy Control. Fuzzy Mathematics. Summary. Appendices. Index.
