Fundamentals of Fuzzy Sets

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Release : 2012-12-06
Genre : Mathematics
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Book Rating : 297/5 ( reviews)

Fundamentals of Fuzzy Sets - 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 Fundamentals of Fuzzy Sets write by Didier Dubois. This book was released on 2012-12-06. Fundamentals of Fuzzy Sets available in PDF, EPUB and Kindle. Fundamentals of Fuzzy Sets covers the basic elements of fuzzy set theory. Its four-part organization provides easy referencing of recent as well as older results in the field. The first part discusses the historical emergence of fuzzy sets, and delves into fuzzy set connectives, and the representation and measurement of membership functions. The second part covers fuzzy relations, including orderings, similarity, and relational equations. The third part, devoted to uncertainty modelling, introduces possibility theory, contrasting and relating it with probabilities, and reviews information measures of specificity and fuzziness. The last part concerns fuzzy sets on the real line - computation with fuzzy intervals, metric topology of fuzzy numbers, and the calculus of fuzzy-valued functions. Each chapter is written by one or more recognized specialists and offers a tutorial introduction to the topics, together with an extensive bibliography.

Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions

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Release : 2013-01-12
Genre : Technology & Engineering
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Book Rating : 955/5 ( reviews)

Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions - 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 Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions write by Rafik Aziz Aliev. This book was released on 2013-01-12. Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions available in PDF, EPUB and Kindle. Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keynes’s analysis of uncertainty. There is a need for further generalization – a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for human-centric systems should be not languages based on binary logic but human-centric computational schemes able to operate on NL-described information. Development of new theories is now possible due to an increased computational power of information processing systems which allows for computations with imperfect information, particularly, imprecise and partially true information, which are much more complex than computations over numbers and probabilities. The monograph exposes the foundations of a new decision theory with imperfect decision-relevant information on environment and a decision maker’s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory. The book is self containing and represents in a systematic way the decision theory with imperfect information into the educational systems. The book will be helpful for teachers and students of universities and colleges, for managers and specialists from various fields of business and economics, production and social sphere.

An Introduction to Fuzzy Logic and Fuzzy Sets

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Release : 2013-11-11
Genre : Computers
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Book Rating : 996/5 ( reviews)

An Introduction to Fuzzy Logic and Fuzzy Sets - 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 An Introduction to Fuzzy Logic and Fuzzy Sets write by James J. Buckley. This book was released on 2013-11-11. An Introduction to Fuzzy Logic and Fuzzy Sets available in PDF, EPUB and Kindle. This book is an excellent starting point for any curriculum in fuzzy systems fields such as computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. It includes many figures and problem sets at the end of sections.

Fuzzy Sets, Fuzzy Logic, Fuzzy Methods with Applications

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Release : 1995
Genre : Computers
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Book Rating : /5 ( reviews)

Fuzzy Sets, Fuzzy Logic, Fuzzy Methods with Applications - 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, Fuzzy Logic, Fuzzy Methods with Applications write by Hans Bandemer. This book was released on 1995. Fuzzy Sets, Fuzzy Logic, Fuzzy Methods with Applications available in PDF, EPUB and Kindle. This highly accessible introduction to the fundamentals of fuzzy sets and their applications covers fuzzy numbers, fuzzy programming, fuzzy controllers, qualitative fuzzy data analysis, and much more.

Advanced Fuzzy Logic Technologies in Industrial Applications

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Release : 2007-01-17
Genre : Technology & Engineering
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Book Rating : 694/5 ( reviews)

Advanced Fuzzy Logic Technologies in Industrial Applications - 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 Advanced Fuzzy Logic Technologies in Industrial Applications write by Ying Bai. This book was released on 2007-01-17. Advanced Fuzzy Logic Technologies in Industrial Applications available in PDF, EPUB and Kindle. This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The book describes the real-world uses of new fuzzy techniques to simplify readers’ tuning processes and enhance the performance of their control systems. It further contains application examples.