Modeling Uncertainty with Fuzzy Logic - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Uncertainty with Fuzzy Logic write by Asli Celikyilmaz. This book was released on 2009-04-01. Modeling Uncertainty with Fuzzy Logic available in PDF, EPUB and Kindle. The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, “The only satisfactory description of uncertainty is probability.
Modeling Uncertainty with Fuzzy Logic
Modeling Uncertainty with Fuzzy Logic - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Uncertainty with Fuzzy Logic write by Asli Celikyilmaz. This book was released on 2009-04-08. Modeling Uncertainty with Fuzzy Logic available in PDF, EPUB and Kindle. The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, “The only satisfactory description of uncertainty is probability.
Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems
Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems write by Bilal M. Ayyub. This book was released on 1997. Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems available in PDF, EPUB and Kindle. This book gives an overview of the current state of uncertainty modeling in vibration, control, and fuzzy analysis of structural and mechanical systems. It is a coherent compendium written by leading experts and offers the reader a sampling of exciting research areas in several fast-growing branches in this field. Uncertainty modeling and analysis are becoming an integral part of system definition and modeling in many fields. The book consists of ten chapters that report the work of researchers, scientists and engineers on theoretical developments and diversified applications in engineering systems. They deal with modeling for vibration, control, and fuzzy analysis of structural and mechanical systems under uncertain conditions. The book designed for readers who are familiar with the fundamentals and wish to study a particular topic or use the book as an authoritative reference. It gives readers a sophisticated toolbox for tackling modeling problems in mechanical and structural systems in real-world situations. The book is part of a series on Stability, Vibration and Control of Structures, and provides vital information in these areas.
Uncertain Rule-Based Fuzzy Systems
Uncertain Rule-Based Fuzzy Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertain Rule-Based Fuzzy Systems write by Jerry M. Mendel. This book was released on 2017-05-17. Uncertain Rule-Based Fuzzy Systems available in PDF, EPUB and Kindle. The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Sets and Their Extensions: Representation, Aggregation and Models write by Humberto Bustince. This book was released on 2007-10-30. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models available in PDF, EPUB and Kindle. This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions. It pays particular attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modeling and solving problems. The book’s 34 chapters deal with the subject with clarity and effectiveness. They include four review papers introducing some non-standard representations
