Approximate Reasoning By Parts

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Approximate Reasoning by Parts

Author : Lech Polkowski
Publisher : Springer Science & Business Media
ISBN 13 : 364222279X
Total Pages : 356 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Approximate Reasoning by Parts by : Lech Polkowski

Download or read book Approximate Reasoning by Parts written by Lech Polkowski and published by Springer Science & Business Media. This book was released on 2011-08-27 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: The monograph offers a view on Rough Mereology, a tool for reasoning under uncertainty, which goes back to Mereology, formulated in terms of parts by Lesniewski, and borrows from Fuzzy Set Theory and Rough Set Theory ideas of the containment to a degree. The result is a theory based on the notion of a part to a degree. One can invoke here a formula Rough: Rough Mereology : Mereology = Fuzzy Set Theory : Set Theory. As with Mereology, Rough Mereology finds important applications in problems of Spatial Reasoning, illustrated in this monograph with examples from Behavioral Robotics. Due to its involvement with concepts, Rough Mereology offers new approaches to Granular Computing, Classifier and Decision Synthesis, Logics for Information Systems, and are--formulation of well--known ideas of Neural Networks and Many Agent Systems. All these approaches are discussed in this monograph. To make the exposition self--contained, underlying notions of Set Theory, Topology, and Deductive and Reductive Reasoning with emphasis on Rough and Fuzzy Set Theories along with a thorough exposition of Mereology both in Lesniewski and Whitehead--Leonard--Goodman--Clarke versions are discussed at length. It is hoped that the monograph offers researchers in various areas of Artificial Intelligence a new tool to deal with analysis of relations among concepts.

Fuzzy Sets in Approximate Reasoning and Information Systems

Author : J.C. Bezdek
Publisher : Springer Science & Business Media
ISBN 13 : 1461552435
Total Pages : 527 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Fuzzy Sets in Approximate Reasoning and Information Systems by : J.C. Bezdek

Download or read book Fuzzy Sets in Approximate Reasoning and Information Systems written by J.C. Bezdek and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.

Foundations of Computational Intelligence Volume 2

Author : Aboul-Ella Hassanien
Publisher : Springer
ISBN 13 : 3642015336
Total Pages : 312 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Foundations of Computational Intelligence Volume 2 by : Aboul-Ella Hassanien

Download or read book Foundations of Computational Intelligence Volume 2 written by Aboul-Ella Hassanien and published by Springer. This book was released on 2009-05-27 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computational Intelligence Volume 2: Approximation Reasoning: Theoretical Foundations and Applications Human reasoning usually is very approximate and involves various types of - certainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on t- ory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for - proximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning – Theoretical Foundations Part-II: Approximate Reasoning – Success Stories and Real World Applications Part I on Approximate Reasoning – Theoretical Foundations contains four ch- ters that describe several approaches of fuzzy and Para consistent annotated logic approximation reasoning. In Chapter 1, “Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox” by Peters considers how a user might utilize fuzzy sets, near sets, and rough sets, taken separately or taken together in hybridizations as part of a computational intelligence toolbox. In multi-criteria decision making, it is necessary to aggregate (combine) utility values corresponding to several criteria (parameters).

An Introduction to Fuzzy Logic and Fuzzy Sets

Author : James J. Buckley
Publisher : Springer Science & Business Media
ISBN 13 : 3790817996
Total Pages : 285 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis An Introduction to Fuzzy Logic and Fuzzy Sets by : James J. Buckley

Download or read book An Introduction to Fuzzy Logic and Fuzzy Sets written by James J. Buckley and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, and Fuzzy Systems

Author : Lotfi Asker Zadeh
Publisher : World Scientific
ISBN 13 : 9789810224219
Total Pages : 848 pages
Book Rating : 4.2/5 (242 download)

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Book Synopsis Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems by : Lotfi Asker Zadeh

Download or read book Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems written by Lotfi Asker Zadeh and published by World Scientific. This book was released on 1996 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh. Since Zadeh is not only the founder of this field, but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context. Many of the ideas presented in the papers are still open to further development. The book is thus an important resource for anyone interested in the areas of fuzzy set theory, fuzzy logic, and fuzzy systems, as well as their applications. Moreover, the book is also intended to play a useful role in higher education, as a rich source of supplementary reading in relevant courses and seminars.The book contains a bibliography of all papers published by Zadeh in the period 1949-1995. It also contains an introduction that traces the development of Zadeh's ideas pertaining to fuzzy sets, fuzzy logic, and fuzzy systems via his papers. The ideas range from his 1965 seminal idea of the concept of a fuzzy set to ideas reflecting his current interest in computing with words ? a computing in which linguistic expressions are used in place of numbers.Places in the papers, where each idea is presented can easily be found by the reader via the Subject Index.

Fuzzy Implications

Author : Michał Baczyński
Publisher : Springer
ISBN 13 : 3540690824
Total Pages : 310 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Fuzzy Implications by : Michał Baczyński

Download or read book Fuzzy Implications written by Michał Baczyński and published by Springer. This book was released on 2008-09-18 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first ever to deal exclusively with this class of operations. It offers an introduction to Fuzzy Implications, an analytical study of them, and an algebraic exploration into the structures that exist on the set of all FIs.

Lapses in Mathematical Reasoning

Author : V. M. Bradis
Publisher : Courier Dover Publications
ISBN 13 : 0486816575
Total Pages : 224 pages
Book Rating : 4.4/5 (868 download)

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Book Synopsis Lapses in Mathematical Reasoning by : V. M. Bradis

Download or read book Lapses in Mathematical Reasoning written by V. M. Bradis and published by Courier Dover Publications. This book was released on 2016-10-28 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed as a method for teaching correct mathematical thinking to high school students, this book contains a brilliantly constructed series of what the authors call "lapses," erroneous statements that are part of a larger mathematical argument. These lapses lead to sophism or mathematical absurdities. The ingenious idea behind this technique is to lead the student deliberately toward a clearly false conclusion. The teacher and student then go back and analyze the lapse as a way to correct the problem. The authors begin by focusing on exercises in refuting erroneous mathematical arguments and their classification. The remaining chapters discuss examples of false arguments in arithmetic, algebra, geometry, trigonometry, and approximate computations. Ideally, students will come to the correct insights and conclusions on their own; however, each argument is followed by a detailed analysis of the false reasoning. Stimulating and unique, this book is an intriguing and enjoyable way to teach students critical mathematical reasoning skills.

Foundations of Computational Intelligence Volume 2

Author : Aboul-Ella Hassanien
Publisher : Springer
ISBN 13 : 9783642015328
Total Pages : 0 pages
Book Rating : 4.0/5 (153 download)

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Book Synopsis Foundations of Computational Intelligence Volume 2 by : Aboul-Ella Hassanien

Download or read book Foundations of Computational Intelligence Volume 2 written by Aboul-Ella Hassanien and published by Springer. This book was released on 2009-06-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computational Intelligence Volume 2: Approximation Reasoning: Theoretical Foundations and Applications Human reasoning usually is very approximate and involves various types of - certainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on t- ory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for - proximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning – Theoretical Foundations Part-II: Approximate Reasoning – Success Stories and Real World Applications Part I on Approximate Reasoning – Theoretical Foundations contains four ch- ters that describe several approaches of fuzzy and Para consistent annotated logic approximation reasoning. In Chapter 1, “Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox” by Peters considers how a user might utilize fuzzy sets, near sets, and rough sets, taken separately or taken together in hybridizations as part of a computational intelligence toolbox. In multi-criteria decision making, it is necessary to aggregate (combine) utility values corresponding to several criteria (parameters).

Conceptual Graphs and Fuzzy Logic

Author : Tru Hoang Cao
Publisher : Springer
ISBN 13 : 3642140874
Total Pages : 240 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Conceptual Graphs and Fuzzy Logic by : Tru Hoang Cao

Download or read book Conceptual Graphs and Fuzzy Logic written by Tru Hoang Cao and published by Springer. This book was released on 2010-07-17 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computation of fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantified statements, approximate knowledge retrieval, and natural language query understanding.

Modeling and Reasoning with Bayesian Networks

Author : Adnan Darwiche
Publisher : Cambridge University Press
ISBN 13 : 0521884381
Total Pages : 561 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Modeling and Reasoning with Bayesian Networks by : Adnan Darwiche

Download or read book Modeling and Reasoning with Bayesian Networks written by Adnan Darwiche and published by Cambridge University Press. This book was released on 2009-04-06 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.

An Introduction to the Approximation of Functions

Author : Theodore J. Rivlin
Publisher : Courier Corporation
ISBN 13 : 9780486640693
Total Pages : 164 pages
Book Rating : 4.6/5 (46 download)

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Book Synopsis An Introduction to the Approximation of Functions by : Theodore J. Rivlin

Download or read book An Introduction to the Approximation of Functions written by Theodore J. Rivlin and published by Courier Corporation. This book was released on 1981-01-01 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Numerical Analysis.

Artificial Intelligence and Soft Computing, Part I

Author : Leszek Rutkowski
Publisher : Springer
ISBN 13 : 3642132081
Total Pages : 710 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Artificial Intelligence and Soft Computing, Part I by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing, Part I written by Leszek Rutkowski and published by Springer. This book was released on 2010-06-20 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 10th International Conference on Artificial Intelligence and Soft Computing, ICAISC'2010, held in Zakopane, Poland in June 13-17, 2010. The articles are organized in topical sections on Fuzzy Systems and Their Applications; Data Mining, Classification and Forecasting; Image and Speech Analysis; Bioinformatics and Medical Applications (Volume 6113) together with Neural Networks and Their Applications; Evolutionary Algorithms and Their Applications; Agent System, Robotics and Control; Various Problems aof Artificial Intelligence (Volume 6114).

Readings in Fuzzy Sets for Intelligent Systems

Author : Didier J. Dubois
Publisher : Morgan Kaufmann
ISBN 13 : 1483214508
Total Pages : 929 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Readings in Fuzzy Sets for Intelligent Systems by : Didier J. Dubois

Download or read book Readings in Fuzzy Sets for Intelligent Systems written by Didier J. Dubois and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 929 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readings in Fuzzy Sets for Intelligent Systems is a collection of readings that explore the main facets of fuzzy sets and possibility theory and their use in intelligent systems. Basic notions in fuzzy set theory are discussed, along with fuzzy control and approximate reasoning. Uncertainty and informativeness, information processing, and membership, cognition, neural networks, and learning are also considered. Comprised of eight chapters, this book begins with a historical background on fuzzy sets and possibility theory, citing some forerunners who discussed ideas or formal definitions very close to the basic notions introduced by Lotfi Zadeh (1978). The reader is then introduced to fundamental concepts in fuzzy set theory, including symmetric summation and the setting of fuzzy logic; uncertainty and informativeness; and fuzzy control. Subsequent chapters deal with approximate reasoning; information processing; decision and management sciences; and membership, cognition, neural networks, and learning. Numerical methods for fuzzy clustering are described, and adaptive inference in fuzzy knowledge networks is analyzed. This monograph will be of interest to both students and practitioners in the fields of computer science, information science, applied mathematics, and artificial intelligence.

Fuzzy Sets

Author : Paul Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1468438484
Total Pages : 406 pages
Book Rating : 4.4/5 (684 download)

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Book Synopsis Fuzzy Sets by : Paul Wang

Download or read book Fuzzy Sets written by Paul Wang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the systems which form the fabric of modern society become more complex and more interdependent, the need for the understanding of the behavior of such systems becomes increasingly more essential. What are the causes and possible cures for the worldwide inflation which is posing a serious threat to the economic stability and social order of both developed and underdeveloped countries? What are the trade-offs between the urgent need for additional sources of energy and the risks posed by the proliferation of nuclear reactors? How can one devise mass transportation systems which are fast, comforta ble, convenient, and yet not prohibitively expensive? These issues are but some of the more visible problems posed by what might be called the crisis of undercoordination--a crisis rooted in the widen ing gap between the degree of interdependence in the systems of modern society and the degree of coordination which libertarian societies are willing to tolerate. The disquieting implication of this crisis is that to achieve stability through coordination may necessitate the imposition of pervasive controls which may be hard to accept by societies steeped in the democratic tradition. Viewed in this perspective, the need for developing a better understanding of the behavior of large-scale societal systems presents a problem of much more than purely academic importance.

Intelligent Techniques and Soft Computing for Nuclear Science and Engineering

Author : Da Ruan
Publisher : World Scientific
ISBN 13 : 9789810243562
Total Pages : 560 pages
Book Rating : 4.2/5 (435 download)

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Book Synopsis Intelligent Techniques and Soft Computing for Nuclear Science and Engineering by : Da Ruan

Download or read book Intelligent Techniques and Soft Computing for Nuclear Science and Engineering written by Da Ruan and published by World Scientific. This book was released on 2000 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is divided into three parts. The first part, ?Mathematical Tools and New Developments?, provides basic tools to treat fuzzy set theory, rough set theory, fuzzy control, fuzzy modelling, decision support systems, and related applications. The second part, ?Intelligent Engineering Applications?, reports on engineering problems such as man-machine interface, risk analysis, image processing, robotics, knowledge-based engineering, expert systems, process control integration, diagnosis, measurements and interpretation by intelligent techniques and soft computing used for general engineering applications. The third part, ?Nuclear Engineering Applications?, concentrates on nuclear applications and covers several topics such as nuclear energy, nuclear safety assessment, radioactive waste management, nuclear measurements, nuclear safeguards, nuclear reactor operation, reactor controller design, fuel reload pattern design, signal validation, nuclear power plants, and optimizations in nuclear applications.

Fuzzy Set Theory

Author : George J. Klir
Publisher :
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Fuzzy Set Theory by : George J. Klir

Download or read book Fuzzy Set Theory written by George J. Klir and published by . This book was released on 1997 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Set Theory: Foundations and Applications serves as a simple introduction to basic elements of fuzzy set theory. The emphasis is on a conceptual rather than a theoretical presentation of the material. Fuzzy Set Theory also contains an overview of the corresponding elements of classical set theory - including basic ideas of classical relations - as well as an overview of classical logic. Because the inclusion of background material in these classical foundations provides a self-contained course of study, students from many different academic backgrounds will have access to this important new theory.

Fuzzy Systems and Knowledge Discovery

Author : Lipo Wang
Publisher : Springer
ISBN 13 : 3540318305
Total Pages : 1334 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Fuzzy Systems and Knowledge Discovery by : Lipo Wang

Download or read book Fuzzy Systems and Knowledge Discovery written by Lipo Wang and published by Springer. This book was released on 2005-08-25 with total page 1334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its sister volume, LNAI 3613 and 3614, constitute the proce- ings of the Second International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2005), jointly held with the First International Conference on Natural Computation (ICNC 2005, LNCS 3610, 3611, and 3612) from - gust 27–29, 2005 in Changsha, Hunan, China. FSKD 2005 successfully attracted 1249 submissions from 32 countries/regions (the joint ICNC-FSKD 2005 received 3136 submissions). After rigorous reviews, 333 high-quality papers, i. e. , 206 long papers and 127 short papers, were included in the FSKD 2005 proceedings, r- resenting an acceptance rate of 26. 7%. The ICNC-FSKD 2005 conference featured the most up-to-date research - sults in computational algorithms inspired from nature, including biological, e- logical, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide range of techniques and methods are being studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cross-fertilization over these exciting and yet closely-related areas, which had a signi?cant impact on the advancement of these important technologies. Speci?c areas included computation with words, fuzzy computation, granular com- tation, neural computation, quantum computation, evolutionary computation, DNA computation, chemical computation, information processing in cells and tissues, molecular computation, arti?cial life, swarm intelligence, ants colony, arti?cial immune systems, etc. , with innovative applications to knowledge d- covery, ?nance, operations research, and more.