Fuzzy systems and soft computing

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fuzzy systems and soft computing

Fuzzy Logic and Soft Computing by Bernadette Bouchon-Meunier

Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning.This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field.
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Fuzzy Logic Tutorials - Introduction to Fuzzy Logic, Fuzzy Sets & Fuzzy Set Operations

Fuzzy Logic and Soft Computing contains contributions from world-leading experts from both the academic and industrial communities. The first part of the.
Bernadette Bouchon-Meunier

FUZZ-IEEE 2019

SCImago Journal Rank:. Aims and Scope The aim of the Journal of Multiple-Valued Logic and Soft Computing is to publish and disseminate knowledge in the areas related to multiple-valued logic and various disciplines that relate to soft computing, that is, to computing that is tolerant of imprecision, uncertainty, partial truth and approximative reasoning. Specific topics include but are not limited to :. This website uses cookies to improve the user experience. By using this website you consent to the use of cookies as detailed in our Cookies Policy and Privacy Policy.

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This book comprises a selection of papers from the IFSA World Congress on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over submissions and constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies. Soft Computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. Applications range from pattern recognition to intelligent control and sow the advantages of using soft computing theory and methods. The papers of IFSA also make a contribution to this goal. Skip to main content Skip to table of contents.

About these proceedings

Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. The term fuzzy logic was introduced with the proposal of fuzzy set theory by Lotfi Zadeh. Fuzzy logic is based on the observation that people make decisions based on imprecise and non-numerical information. Fuzzy models or sets are mathematical means of representing vagueness and imprecise information hence the term fuzzy. These models have the capability of recognising, representing, manipulating, interpreting, and utilising data and information that are vague and lack certainty. Fuzzy logic has been applied to many fields, from control theory to artificial intelligence.

FUZZ-IEEE will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy logic and its hybridizations with other artificial and computational intelligence techniques. IEEE believes that science, technology, and engineering are fundamental human activities, for which openness, international collaboration, and the free flow of talent and ideas are essential. Accordingly, IEEE is committed to providing a safe, productive, and welcoming environment to all participants, including staff and vendors, at IEEE-related events. All participants have the right to pursue shared interests without harassment or discrimination in an environment that supports diversity and inclusion.

Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? Fuzzy systems and soft computing are new computing techniques that are tolerant to imprecision, uncertainty and partial truths. Applications of these techniques in nuclear engineering present a tremendous challenge due to its strict nuclear safety regulation. The fields of nuclear engineering, fuzzy systems and soft computing have nevertheless matured considerably during the last decade. This book, as its title suggests, consists of nuclear engineering applications of fuzzy systems Chapters and soft computing Chapters

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