English | June 1, 2005 | ISBN: 3540250336 | 179 Pages | PDF | 6 MB

In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals.

English | 2005-06-01 | ISBN: 3540250336 | 179 pages | PDF | 6,1 mb

In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals.

Springer | Control Engineering | Feb. 20 2016 | ISBN-10: 3319288466 | 263 pages | pdf | 6.58 mb

Authors: Zhang, L., Yang, T., Shi, P., Zhu, Y.

Addresses the control issues such as stability analysis, control synthesis, filter design and model reduction of Markov jump systems with the different types of transition probabilities

Provides a number of numerical and practical examples to verify the effectiveness of the obtained theoretical results

English | 2014 | ISBN: 3319057227 | 389 pages | PDF | 4 MB

The structure of the set of all the invariant probabilities and the structure of various types of individual invariant probabilities of a transition function are two topics of significant interest in the theory of transition functions, and are studied in this book.

English | 1990 | ISBN: 0412286602 | 720 pages | Djvu | 7,2 MB

This text presents a theory of probabilistic reasoning, statistical inference and decision. The book is concerned with the problems of reasoning under conditions of uncertainty, partial information and ignorance. It is argued that, in order to give appropriate weight to both ignorance and uncertainty, imprecise probabilities need to be assessed.

English | 2009 | ISBN-10: 1550228331 | PDF | 256 pages | 5,5 MB

A study in probability, strategy, and game theory, this handy companion explores all the mathematical methods of mastering the game of poker. The poker world needs more books like Practical Poker Math.

This book made difficult topics like odds, probabilities and game theory easy to understand for a beginner.

Birkhäuser Boston | 2006-09-26 | ISBN: 0817644911 | 416 pages | PDF | 16,3 MB

Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presents the first unified and thorough treatment of fuzzy modeling and fuzzy control, providing necessary tools for the control of complex nonlinear systems.

English | 2010 | ISBN: 9814282529 | 620 pages | PDF | 4,7 MB

The book gives a comprehensive treatment of the classical and modern ruin probability theory. Some of the topics are Lundberg's inequality, the Cramer-Lundberg approximation, exact solutions, other approximations (e.g., for heavy-tailed claim size distributions), finite horizon ruin probabilities, extensions of the classical compound Poisson model to allow for reserve-dependent premiums…

Publisher: Idea Group Publishing | Number Of Pages: 321 | Publication Date: 2005-10-19 | ISBN-10: 1591403243 | PDF | 3 Mb

Fuzzy Databases: Modeling, Design and Implementation focuses on some semantic aspects which have not been studied in previous works and extends the EER model with fuzzy capabilities. The exposed model is called FuzzyEER model, and some of the studied extensions are: fuzzy attributes, fuzzy aggregations and different aspects on specializations, such as fuzzy degrees, fuzzy constraints, etc. All these fuzzy extensions offer greater expressiveness in conceptual design. Fuzzy Databases: Modeling, Design and Implementation also proposes a method to translate FuzzyEER model to a classical DBMS, and defines FSQL (Fuzzy SQL), an extension of the SQL language that allows users to write flexible conditions in queries, using all extensions defined by the FuzzyEER model. This book, while providing a global and integrated view of fuzzy database constructions, serves as an introduction to fuzzy logic, fuzzy databases and fuzzy modeling in databases.

Publisher: Springer | ISBN: 3540787364 | edition 2008 | PDF | 248 pages | 3,5 mb

The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reason why we concentrate on fuzzy c-means is that most methodology and application studies in fuzzy clustering use fuzzy c-means, and hence fuzzy c-means should be considered to be a major technique of clustering in general, regardless whether one is interested in fuzzy methods or not. Unlike most studies in fuzzy c-means, what we emphasize in this book is a family of algorithms using entropy or entropy-regularized methods which are less known, but we consider the entropy-based method to be another useful method of fuzzy c-means.

English | pages: 272 | 2007 | ISBN: 0470097299 | PDF | 5,3 mb

While most books on trading deal with general concepts and shy away from specifics, Forex Patterns and Probabilities provides you with real-world strategies and a rare sense of clarity about the specific mechanics of currency trading. Leading trading educator Ed Ponsi will explain the driving forces in the currency markets and will provide strategies to enter, exit, and manage successful trades. Dozens of chart examples and explanations will guide you each step of the way and allow the reader to "look over the shoulder" of a professional trader hard at work at his craft.

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**Guanrong Chen, Trung Tat Pham, "Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems"**

CRC | ISBN: 0849316588 | 1 edition | PDF | 328 pages | 2.6 MB

CRC | ISBN: 0849316588 | 1 edition | PDF | 328 pages | 2.6 MB

In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art" of building a working fuzzy controller has turned into today's "science" of systematic design. To keep pace with and further advance the rapidly developing field of applied control technologies, engineers, both present and future, need some systematic training in the analytic theory and rigorous design of fuzzy control systems. Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic, and then building a practical theory for automatic control of uncertain and ill-modeled systems encountered in many engineering applications. The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application examples. Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for designing and analyzing fuzzy control systems under uncertain and irregular conditions. Mastering its contents gives students a clear understanding of fuzzy control systems theory that prepares them for deeper and broader studies and for many practical challenges faced in modern industry.

English | 1996 | ISBN: 0132351692 | 797 pages | PDF | 45 MB

Neural Fuzzy Systems provides a comprehensive, up-to-date introduction to the basic theories of fuzzy systems and neural networks, as well as an exploration of how these two fields can be integrated to create Neural-Fuzzy Systems. It includes Matlab software, with a Neural Network Toolkit, and a Fuzzy System Toolkit.