Synopses & Reviews
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
Synopsis
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 ways of their solutions are discussed. The book then progresses systematically by first covering the theoretical aspects before tackling the applications. In the application section, a software library is described, which contains discrete EFDS identification methods elaborated during fundamental research of the book.
Extremal Fuzzy Dynamic Systems will be of interest to theoreticians interested in modeling fuzzy processes, to researchers who use fuzzy statistics, as well as practitioners from different disciplines whose research interests include abnormal, extreme and monotone processes in nature and society. Graduate students could also find this book useful.
Synopsis
Presenting a fresh approach to the fuzzy modeling of dynamic processes in systems science research, this book's coverage of both theory and key applications incorporates time as a source of fuzziness and treats applied EFD systems such as software libraries.
Synopsis
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
Table of Contents
F uzzy 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