Product Description
Topological and Algebraic Structures in Fuzzy Sets has these unique features:
-strategically located at the juncture of fuzzy sets, topology, algebra, lattices, foundations of mathematics;
-major studies in uniformities and convergence structures, fundamental examples in lattice-valued topology, modifications and extensions of sobriety, categorical aspects of lattice-valued subsets, logic and foundations of mathematics, t-norms and associated algebraic and ordered structures;
-internationally recognized authorities clarify deep mathematical aspects of fuzzy sets, particularly those topological or algebraic in nature;
-comprehensive bibliographies and tutorial nature of longer chapters take readers to the frontier of each topic;
-extensively referenced introduction unifies volume and guides readers to chapters closest to their interests;
-annotated open questions direct future research in the mathematics of fuzzy sets;
-suitable as a text for advanced graduate students. ... Read more

Product Description

This book presents basic aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The book aims at motivating statisticians to examine fuzzy statistics to enlarge the domain of applicability of statistics in general.

Product Description
Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. Just as in fuzzy set theory the set membership values can range (inclusively) between 0 and 1, in fuzzy logic the degree of truth of a statement can range between 0 and 1 and is not constrained to the two truth values {true, false} as in classic predicate logic. And when linguistic variables are used, these degrees may be managed by specific functions, as discussed below.Some current areas of application include: automobile and other vehicle subsystems, such as automatic transmissions, ABS and cruise control (e.g. Tokyo monorail); air conditioners; the massive engine used in the "Lord of the Rings" films, which helped huge scale armies create random, yet orderly movements; cameras; digital image processing, such as edge detection; rice cookers; dishwashers; elevators; washing machines and other home appliances; video game artificial intelligence; language filters on message boards and chat rooms for filtering out offensive text; and, pattern recognition in Remote Sensing. This book brings together the latest research in the field. ... Read more

Product Description

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.

Product Description
This textbook provides a thorough introduction to the field of learningfrom experimental data and soft computing. Support vector machines (SVM)and neural networks (NN) are the mathematical structures, or models,that underlie learning, while fuzzy logic systems (FLS) enable us toembed structured human knowledge into workable algorithms. The bookassumes that it is not only useful, but necessary, to treat SVM, NN, andFLS as parts of a connected whole. Throughout, the theory and algorithmsare illustrated by practical examples, as well as by problem sets andsimulated experiments. This approach enables the reader to develop SVM,NN, and FLS in addition to understanding them. The book also presentsthree case studies: on NN-based control, financial time series analysis,and computer graphics. A solutions manual and all of the MATLAB programsneeded for the simulated experiments are available. ... Read more

Customer Reviews (3)

An extremely good book
This is a very good book.Another reviewer has commented on Vojislav Kecman being an excellent teacher.I whole-heartedly second that opinion.Often times, while reading this book, you will pause with a doubt or question.What you will find surprising is that almost certainly the author has answered that question in the next paragraph.Many times, the author's answers will tally your own answers.

The first chapter of the book (entitled: Learning and Soft Computing:Rationale, Motivations, Needs, Basics) is 119 pages long.It is an essential reading.By the time you finish reading this chapter the things will start falling into place and you will be more motivated and ready to read the remaining chapters.Until you are highly aware of this topic, do not skip this chapter.

A book is made up of a lot of things other than the text that it covers.Does it contain many/any stupid jokes? Is it printed on the highest quality paper? Is the font size good? Is it printed too dense? Is the cover page inviting enough?Are the dimensions/weight of the book correct?On all these counts the book scores high.

Consistent with the subject matter that it covers, this is not an easy book.You will perhaps like to read it with paper and pencil. But if you are willing to spend time with this book, this book will do a lot of good to you.This is a very good book.

An excellent book on Machine Learning
What strikes me each time I open this book is Mr Kecman's sense of pedagogy: it is a lesson in the matter. Not only his book delivers the - sometimes complex - techniques in a highly readable manner, but the concepts behind each of the main tools (SVM, NN & FL) he chose to highlight are always brilliantly put in context. One comes out of the reading with more than a set of equations but rather with a clearer picture of the field.
Mr Kecman is - without a doubt - a great teacher.

This effort to deliver a clear message is furthermore underlined through the numerous original figures: if you are like me and feel that a (good) picture speaks more than a thousand words, you will sure appreciate the way the illustrations complement the text and truly help the understanding.

I have read several other books on the subject but if I had to chose one for teaching purposes, this would be the one. I you want to build a better understanding of the field, get this book: it will pay on the long term.

Excellent, useful book!
This book is a nice and, I would say, a successful attempt to provide a unified survey of important theoretical and practical machine learning tools: neural networks (NN), support vector machines (SVM) and fuzzy systems (FS).

Book consists of nine chapters, covering SVMs, one- and multi-layer perceptrons and radial-basis function networks, as variants of neural networks, and basics of fuzzy theory. This is followed by interesting case-studies (in financial, control and computer graphic applications) and concluded by basics of optimization theory and an overview of necessary mathematical tools. All the MATLAB programs needed for the simulated experiments are available on the book web site.

Authored by Vojislav Kecman, a prominent researcher in the field of soft computing and previous MIT visiting professor, this book is an excellent material for advanced undergraduate and introductory graduate courses in machine learning applications and soft computing.... ... Read more

Product Description
This new edition provides a comprehensive introduction to fuzzy logic, and leads the reader through the complete process of designing, constructing, implementing, verifying and maintaining a platform-independent fuzzy system model. The book has been extensively revised to bring the subject up-to-date, and features two new chapters: "Building and Using Fuzzy Cognitive Map Models" and "Building ME-OWA Models."

The multiplatform CD-ROM contains all the C++ source code from the book's examples - but its real value is the robust package of fuzzy system related tools and utilities, featuring two notable components. First: Metus Systems' basic fuzzy modeling software, which includes complete C/C++ source code for creating and executing fuzzy models, a Visual Basic shell that can be used to create fuzzy sets and generate the C/C++ include files, and code for models for pricing, project management, risk assessment, and more. Second: The ME-OWA (Minimum-Entropy, Ordered Weighted Aggregation) decision modeling software from Fuzzy Logic, Inc. This software is used to focus on a single objective function from a set of alternatives given a fuzzy ranking among various alternatives. It is not only an important technique as a stand-alone tool, but is an important methodology in parameter selection (and parameterization ordering) for genetic algorithms and various data mining techniques. It is also an important technique used to establish rule and policy level peer weights in fuzzy models.

Key Features
* Tutorial style, requiring no background in fuzzy logic
* Case studies illustrate real-world fuzzy applications
* Mathematically straightforward exposition, with emphasis on practical use
* CD-ROM features all the C++ source code from the book and a robust package of fuzzy system related tools and utilities ... Read more

Customer Reviews (8)

Not a practicle book
By chapter 3 I realized Dr. Cox completely fails to document the assumptions and reasoning behind the formulas he illustrates. He fails to even clearly list formulas in the book.He provides mini C-code programs that will quickly become dated and the book totally useless that you can spend time picking through to eventually derive formulas, assuming they are even correct at this point in time.Do yourself a favor, check it out from the library and take a look at it first.Don't get stuck like I did with an overpriced paperweight.A "first course in fuzzy logic" by Hung Nguyen may be better.I looked through random pages and at least it has the formulas, how and why they are developed.I'm going to check it out of the library first.Ours did not carry Dr. Cox's book so I could not look at it before buying.

Good hands on fuzzy logic book
This is the best hands on fuzzy logic book that I have used thus far. I succesfully used the first edition of the book as reference to develop real world fuzzy applications.I see that some reviewers are somewhat upset about the source code shipping with the book. It is a pity that the C++ code, is so difficult to get going with, because this detracts from some very valuable chapters in the book itself. However, Mr Cox was very helpful in providing me with updated code. I highly recommend the book.

good general introduction - code useless
I am about halfway through the book and in general it's a decent guide to fuzzy logic. Earl explains the concepts well and provides decent real work examples. The code, as everyone else here has already said, is basically worthless. The book would be far more valuable if he just removed the code entirely from it and focused more on fuzzy logic. Another complaint: reading the first 50 pages made me feel as if I were reading a religious text, not a fuzzy systems book. Earl spends a great deal of time convincing the reader that Fuzzy Logic easily beats out other competing expert systems such as Bayes logic and neural networks. He dismisses those who do not agree with him as "uneducated" and spends time hurling personal insults at them rather than focusing on the benefits of fuzzy logic. I almost put the book down and returned it when reading the first 2 chapters. Altogether this is a decent introduction to fuzzy logic if you disregard the useless code and pedantics of the author.

Ok book - sourcecode is completely useless
If you want a book that gives basic explanation of fuzzy logic - this one is not that bad. If you want this book because it comes with 'free' code - look elsewhere. I'm a programmer with 10 years of C++ experience but I have not seen worse code than is supplied with this book. And believe me, I've seen a lot of bad code - I even wrote some of it :).

Good Entry level Fuzzy Systems text, messy code
I'm pretty comfortable with C++, so I found fixing the couple of bugs in the shipped code to be not a problem. (Quit your whining its nearly free code.) I can't vouch for the Hisss VB interface, but then I'd drive a cab before I coded with VB. There is one serious bug but its from a typo. Email me and I'll send you the patch.

On to the good part. This is the first good Fuzzy Logic book I found. I've read several others before I got to this one and each one left me more confused than the rest. Earl finnally explained what its all about and what sort of problems this technique solves. There is a bit of "Fuzzy Logic is better than Neural Nets" but no real concrete examples to prove it. I ignored that and used his examples to learn how to do this and his code in some game AI. It worked well.

Also in case you don't know the thing that Fuzzy logic does well is smooth out transistions, ie it keeps things from oscillating between two single states. It's also good for when you have multiple inputs all of which contribute to deciding whether a threshold has been reached. You set weights to the inputs contribution and analyize the result, meets the threshold or not. You can also adjust the threshold depending on the state of the object. Coupled with a Finite State machine and you've got a basic game AI.

I have also taken some time (about a week) and cleaned the code up. It wasn't too difficult and I now have an OOP interface to it which made things a lot easier to understand. Earl obviously has a for sale system using the original code. He must have cut a chunk out and put it on the disk. I also have about a dozen emails from him, and I've sent him the updates. He's a busy guy, bug him to put the fixed code on his site. Maybe he'll get around to it. ... Read more

Product Description
For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic.The first book of its kind, this text explains how all kinds of uncertainties can be handled within the framework of a common theory and set of design tools-fuzzy logic systems-by moving the original fuzzy logic to the next level-type-2 fuzzy logic. It presents a complete development of both type-1 and type-2 fuzzy logic systems, showing how the expanded and richer fuzzy logic contains the original fuzzy logic within it. The text demonstrates, beyond a reasonable doubt, that when uncertainties are present in a problem, much better performance is obtained by using a type-2 fuzzy logic system than by using a type-1 fuzzy logic system. ... Read more

Customer Reviews (4)

Don't waste your money
The subject matter is fascinating, but this paperback book arrived with the binding already broken. I've had the book less than a week and about 40 pages have already fallen out. Prentice-Hall used to be a reputable company, but evidently no more.

The Best Book
It's all that you need to learn about Fuzzy Sets and Systems. Even because Jerry Mendel is one of the most important researchers of Fuzzy. The only problem is that the book hasn't a good finishing.

Uncertain rule-BAsed fuzzy Logic Systems: Intro. & new directions
Couldn't tell if the book was good or not.It was the correct cover, but a totally different book inside. Something about applying for grants.I assume it was a printer error, but was a waste of postage.

A must book for superior understanding of general fuzzy systems
This is an absolutely brilliant work focusing on both fundamental aspects of Fuzzy logic systems. Firstly an intuitive and physical understanding essential for diverse applications of fuzzy sets is developed while at the same time mathematically sound treatment of fundamentals is carried out. There is no other book which integrates clarity and the underlying mathematics to such high level. The treatment of type-2 fuzzy sets is unrivalled by all standards. Mendel is perhaps first time ever in a published book, gives a truly geometric and easy to understand description of type-2 fuzzy sets, making lives of PhD students like myself easier. However, book can be read and used for applications by any one with undergraduate degree in science, engineering or even finance etc and requires moderate mathematical maturity. All relevant mathematical aspects of fuzzy logic systems are covered in detailed in the book itself.

The book begins with a comprehensive and deep treatment of type-1 logic system or in other words, ordinary fuzzy set theory. Then type-2 fuzzy is introduced early on with extremely easy to understand format. While theory of ordinary fuzzy logic is developed to the full extend in part 1, part two of the book, focuses on parallel development of type-2 fuzzy sets. There are no other works, except perhaps Mendel's own published papers, which have such easy to understand and easy to internalized treatment of relatively new and difficult area of type-2 fuzzy logic system. Throughout the easy to understand examples with detail applications of type-2 fuzzy logic system to engineering ranging from digital communications to knowledge mining are given.

While mathematical aspects are covered in detail and without sacrificing required rigor, overall style is quite informal and very easy to read. The book successfully advocates the use of type-2 fuzzy logic systems as a generalization of type-1 fuzzy logic system while demonstrating increased applicable power of type-2 fuzzy systems to tackle difficult engineering and scientific problems including but not limited to time varying, systems, systems involving non-stationary noise processes and nonlinear systems.

Relevant examples of above areas are considered in detail along with reasons to use type-2 fuzzy systems as a solution mechanism. Examples of application areas covered include equalizations of nonlinear and time-varying digital communications channels, rule based classifications of video traffic, knowledge mining using IF-THEN questionnaires and so on. This aspect makes this book quite unique and allows easier transition from described theory to the required applications for the reader.

In the final analysis, this is the perhaps the only book available, which while stressing mathematical details relating to type-1 and type-2 fuzzy logic systems, provides physical and intuitive understanding drawn from detailed discussions and heavily supplemented with figures and pictures with remarkable clarity as well as gives easier to follow practical application based examples. All three aspects work together in a synergetic manner to clarify and imprint deep knowledge relating to fuzzy systems in the minds of the readers.

Last but not least, detailed computer programs in Matlab are provided covering both type-1 and type-2 fuzzy logic systems. This aspect allows immediate applications to practical problems.

This book is greatly appreciated and highly recommended for anyone interested in type-1, or type-2 fuzzy logic systems aiming either to deeply understand these important areas or to apply them in his or her field of interest.
... Read more

Product Description
Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutorials, the simple numerical examples presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation and bottom-up approach that is ideal for working professional engineers, undergraduates, medical/biology majors, and anyone with a nonspecialist background.

Sponsored by:
IEEE Neural Networks Council ... Read more

Customer Reviews (2)

a reasonable overview but don't expect too much detail
As the other reviewer said, if you know nothing about neural networks, then this is a good place to start.It begins with an overview of neural networks in the brain, using the visual processing system as a detailed example.Once this is done, it moves on to general concepts and basic theory encountered in the field.The drawback is topics tend to be skimmed over with the minimum of detail and very few examples, some of which are barely explained - often there are figures of networks with no real discussion of what is going on. Having said that, reading this book gave me enough understanding of the underlying ideas so that i was able to pick up a more mathematical treatment of the subject and follow what was going on and i definitely think it was worth the purchase.

best for beginners
If you have no idea what this subject is all about or if you are interested in knowing the concept of neural networks then try this book, it gives you the conceptual view in a simple matter which is perfectly enough to gain your interest in the subject. If any one wanna work in this field I strongly suggest them to read this book before they want to continue in the field.

"A simple and well organised matter" is the best fit for this book. ... Read more

Customer Reviews (4)

Outstanding autobiography of a most unusual, talented couple
Fay Zadeh has done a truly marvelous job in recording everything wonderful that has happened through her life and her great many trips with Lotfi. It is an outstanding autobiography of a most unusual and talented couple who know the world and human beings so well. Her humorous but criticalobservations of people and their way of life are really unique, acute andamusing. We read the volume with a great deal of interest.

A fun and important book
Fay Zadeh has written a fun and important book that gives a rare glimpse into the personal side of scientific discovery. It is at once both a thoughtful travelogue through the recent history of the information sciences and a contribution to the sociology of science itself.

An Old (and �politically incorrect�) saying ...
An Old (and "politically incorrect") saying states that behind every successful man, there is a supporting woman. Now, we all have a pleasurable possibility to once again confirm this saying by reading this wonderful book by Fay Zadeh, the wife of Professor Lotfi Zadeh.

This book isdefinitely not an Ode of a proverbial Oriental wife to her Husband andMaster. It is full of love and joy and support, but with this love, sheportrays her husband as she sees him, never hesitating to laugh at funnysituations caused, e.g., by Zadeh's absent-mindedness or his collectorspirit.

With numerous countries and continents visited, reading thisbook is like going on a wonderful world tour (often even with useful tipsfor fellow travelers). The descriptions of different countries and citiesare charmingly subjective: Fay never hesitates to emphasize that, e.g., inher art preferences, she describes her own view; however, whether shedescribes places she enjoyed or places where her stay was not exactlyrelaxing, her descriptions are always funny and cheerful.

The bookhas lots of photos, and since the travels were mainly to the conferences,the reader has an extra pleasure, in addition to seeing the younger Zadeh,of seeing, in these photos, many well-known fuzzy researchers. Anecdotalstories contributed by several colleagues form a special appendix to thebook. And please do not miss the last chapter, with culinary recipes: theyare real and they are delightful.

Thanks to Mo Jamshidi, whoinspired this book and helped publish it; thanks to Fay for writing it, andmay I wish her and Lotfi good luck and many-many more years of happy lifeand happy travels together.

A rich, complex, extraordinary shared life.
Fay Zadeh has written an intimate, charming, and revealing account of her life with Lotfi Zadeh. Lotfi Zadeh is one of the most important computer scientists living today. Lotfi Zadeh has received numerous honours for his scientific work. He is best known for developing "Fuzzy Logic" along with its expansion into possibility theory and other aspects of "Soft Computing". These achievements enable people to computationally deal with impreciness.

While Zadeh's work is well known, his personal life and background are less so. Both Zadeh's are people of unusual character with many hobbies, interests, and hidden passions.

Fay Zadeh describes their life togeather; how they met in Tehran; how they later met again in New York; and, how they came to be a couple. Fay was born in Japan and lived in Manchuria, Latvia, and Germany. After Hitler's rise to power, her parent's moved to Tehran. Lotfi was born in Baku, Azerbaijan and moved to Tehran to study; where they first met.

While he is scientifically world reknown, it is also well known that Lotfi Zadeh is very courteous, kind, and generous. However, before this book, his private life was not well known. Fay has opened the door wide to reveal a rich and complex shared life. ... Read more

Product Description
A comprehensive engineering guide that enables developers to adapt fuzzy logic code to their projects. Discussed is how to design, build, and fine-tune a fuzzy system using a systematic approach to the fuzzy engineering process. Each step is illustrated through in-depth, practical examples. ... Read more

Customer Reviews (2)

A pretty decent introduction to FLCs, if a bit slow
I have read about half the book so far, and like it more or less.It takes a *long* time to get a good definition of Fuzzy Logic, its components, and its process.It lacks a good section on just diagrammingthe process flow, however the components have a decent amount of detaildedicated to them.Some of the diagrams are self explanatory, but too muchdetail in text for them.

Your Fuzzy Logic Will Not Be Fuzzy
This is one of my Fuzzy Logic book's. The C++ OOP code inside will make your life simple. Easy deign can be done by simply adapt the C++ code. Usefull information and review was made by the author on the topic of FuzzyLogic with microcontroller system !! Well if you need a practical book onFuzzy Logic .... this is the one !! ... Read more

Product Description
Fuzzy technology has emerged as one of the most exciting newconcepts available. Fuzzy Logic and its Applications... covers awide range of the theory and applications of fuzzy logic and relatedsystems, including industrial applications of fuzzy technology,implementing human intelligence in machines and systems. There arefour main themes: intelligent systems, engineering, mathematicalfoundations, and information sciences. Both academics and the technical community will learn how and whyfuzzy logic is appreciated in the conceptual, design and manufacturingstages of intelligent systems, gaining an improved understanding ofthe basic science and the foundations of human reasoning. ... Read more

Product Description
Fuzzy Logic: State of the Art covers a wide range ofboth theory and applications of fuzzy sets, ranging from mathematicalbasics, through artificial intelligence, computer management andsystems science to engineering applications.
Fuzzy Logic will be of interest to researchers working in fuzzyset theory and its applications. ... Read more

Product Description
Mathematics of Fuzzy Sets: Logic, Topology and MeasureTheory is a major attempt to provide much-needed coherence for themathematics of fuzzy sets. Much of this book is new material requiredto standardize this mathematics, making this volume a reference toolwith broad appeal as well as a platform for future research. Fourteenchapters are organized into three parts: mathematical logic andfoundations (Chapters 1--2), general topology (Chapters3--10), and measure and probability theory (Chapters11--14). Chapter 1 deals with non-classical logics and their syntactic andsemantic foundations. Chapter 2 details the lattice-theoreticfoundations of image and preimage powerset operators. Chapters 3 and 4lay down the axiomatic and categorical foundations of general topologyusing lattice-valued mappings as a fundamental tool. Chapter 3 focuseson the fixed-basis case, including a convergence theory demonstratingthe utility of the underlying axioms. Chapter 4 focuses on the moregeneral variable-basis case, providing a categorical unification oflocales, fixed-basis topological spaces, and variable-basiscompactifications. Chapter 5 relates lattice-valued topologies to probabilistictopological spaces and fuzzy neighborhood spaces. Chapter 6investigates the important role of separation axioms in lattice-valuedtopology from the perspective of space embedding and mapping extensionproblems, while Chapter 7 examines separation axioms from theperspective of Stone-Cech-compactification and Stone-representationtheorems. Chapters 8 and 9 introduce the most important concepts andproperties of uniformities, including the covering and entourageapproaches and the basic theory of precompact or complete [0,1]-valueduniform spaces. Chapter 10 sets out the algebraic, topological, anduniform structures of the fundamentally important fuzzy real line andfuzzy unit interval. Chapter 11 lays the foundations of generalized measure theory andrepresentation by Markov kernels. Chapter 12 develops the importanttheory of conditioning operators with applications to measure-freeconditioning. Chapter 13 presents elements of pseudo-analysis withapplications to the Hamilton--Jacobi equation and optimizationproblems. Chapter 14 surveys briefly the fundamentals of fuzzy randomvariables which are [0,1]-valued interpretations of random sets. ... Read more

Product Description
Reasoning based on approximate or uncertain information is an essential human ability which should be adequately reflected in any intelligent system intended to emulate human behaviour. However, until recently the study of the field of fuzzy logic has only been seriously undertaken in Japan where it is widely applied. Europe and the USA are now beginning to increase their funding of fuzzy logic research and development. Reflecting this new interest, this volume attempts to cover virtually all main aspects of fuzzy logic and related topics. ... Read more

Product Description
An Introduction to Fuzzy Logic Applications in IntelligentSystems consists of a collection of chapters written by leadingexperts in the field of fuzzy sets. Each chapter addresses an areawhere fuzzy sets have been applied to situations broadly related tointelligent systems.
The volume provides an introduction to and an overview of recentapplications of fuzzy sets to various areas of intelligent systems.Its purpose is to provide information and easy access for people newto the field. The book also serves as an excellent reference forresearchers in the field and those working in the specifics of systemsdevelopment. People in computer science, especially those inartificial intelligence, knowledge-based systems, and intelligentsystems will find this to be a valuable sourcebook. Engineers,particularly control engineers, will also have a strong interest inthis book.
Finally, the book will be of interest to researchers working indecision support systems, operations research, decision theory,management science and applied mathematics. An Introduction toFuzzy Logic Applications in Intelligent Systems may also beused as an introductory text and, as such, it is tutorial in nature.
... Read more

Customer Reviews (1)

An introduction to fuzzy reasoning followed by detailed explanations of applications of fuzzy operations
Fuzzy sets and fuzzy logic are knowledge representation systems where the values assigned to the variables are selected from a range, generally from 0.0 to 1.0. With 0.0 representing not possible or false and 1.0 representing certainty or true, this provides a more reasonable way to represent values in the real world. Classical logic is restricted to variables restricted to the true/false binary selection and there is a complete set of rules to create inference and decision systems in classical logic. Clearly, fuzzy logic restricted to the extreme values defaults to classical logic.
There are fuzzy analogs to the inference structures in classical logic and they are explained in the first three papers in this book. The introductory material is complete, although it will be difficult to understand if you have no background in logic. The remaining thirteen papers deal with specific applications of fuzzy logic and reasoning to real-world problems. The papers are:

*) Fuzzy logic controllers
*) Methods and applications of fuzzy mathematical programming
*) Fuzzy set methods in computer vision
*) Fuzziness, image information and scene analysis
*) Fuzzy sets in natural language processing
*) Fuzzy-set-theoretic applications in modeling of man-machine interactions
*) Questionnaires and fuzziness
*) Fuzzy logic knowledge systems and artificial neural networks in medicine and biology
*) The representation and use of uncertainty and metaknowledge in Milord
*) Fuzzy logic with linguistic quantifiers in group decision making
*) Learning in uncertain environments
*) Evidential reasoning under probabilistic and fuzzy uncertainties
*) Probabilistic sets-probabilistic extensions of fuzzy sets

As you can see from the titles of the papers, the applications to which fuzzy operations can be applied are of considerable breadth.
If you are interested in the fundamentals of fuzzy reasoning and how it can be applied, then this is a book that you will find of great interest. Most of the papers are very technical in nature, so some background in the specific field is necessary if you are to have a complete understanding of the operations.
... Read more

Product Description
Fuzzy Logic and Soft Computing contains contributionsfrom world-leading experts from both the academic and industrialcommunities. The first part of the volume consists of invited papersby international authors describing possibilistic logic in decisionanalysis, fuzzy dynamic programming in optimization, linguisticmodifiers for word computation, and theoretical treatments andapplications of fuzzy reasoning. The second part is composed of elevencontributions from Chinese authors focusing on some of the key issuesin the fields: stable adaptive fuzzy control systems, partialevaluations and fuzzy reasoning, fuzzy wavelet neural networks,analysis and applications of genetic algorithms, partialrepeatability, rough set reduction for data enriching, limits ofagents in process calculus, medium logic and its evolution, and factorspaces canes. These contributions are not only theoretically sound andwell-formulated, but are also coupled with applicability implicationsand/or implementation treatments. The domains of applications realizedor implied are: decision analysis, word computation, databases andknowledge discovery, power systems, control systems, andmulti-destinational routing. Furthermore, the articles containmaterials that are an outgrowth of recently conducted research,addressing fundamental and important issues of fuzzy logic and softcomputing. ... Read more

Product Description
This volume contains the thoroughly refereed and revised papers accepted for presentation at the IJCAI '91 Workshops on Fuzzy Logic and Fuzzy Control, held during the International Joint Conference on AI at Sydney, Australia in August 1991. The 14 technical contributions are devoted to several theoretical and applicational aspects of fuzzy logic and fuzzy control; they are presented in sections on theoretical aspects of fuzzy reasoning and fuzzy control, fuzzy neural networks, fuzzy control applications, fuzzy logic planning, and fuzzy circuits. In addition, there is a substantial introduction by the volume editors on the latest developments in the field that brings the papers presented into line. ... Read more

Product Description
Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks,and Genetic Algorithms is an organized edited collection ofcontributed chapters covering basic principles, methodologies, andapplications of fuzzy systems, neural networks and genetic algorithms.All chapters are original contributions by leading researchers writtenexclusively for this volume. This book reviews important concepts and models, and focuses onspecific methodologies common to fuzzy systems, neural networks andevolutionary computation. The emphasis is on development ofcooperative models of hybrid systems. Included are applicationsrelated to intelligent data analysis, process analysis, intelligentadaptive information systems, systems identification, nonlinearsystems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, andGenetic Algorithms provides researchers and engineers withup-to-date coverage of new results, methodologies and applications forbuilding intelligent systems capable of solving large-scale problems. ... Read more

Product Description
The world is changing. We are in the midst of a profound transformation of our society. Matthew Friedman looks at what has happened so far and sends us reports from the trenches. With these insightful (and sometimes quirky) essays Friedman provides us with a passport to the new technologies that brought data processing power once restricted to governments and corporations to the desktops of the general public. According to Friedman the down side of the information revolution is corporate control and the concentration of information-the trend towards the commodification of information rather than having it as an open public resource. Some of the topics in Fuzzy Logic...hate propaganda on the Netthe machine as fetishcyber warfare-Zapatistas on the Netsex and censorshipthe death of television newsthe future of the newspaperthe globalization of the information revolution and its impact on culturethe regulation debate (or metapolitics of the net)virtual space and virtual societythe information economythe development of information industriesintellectual property and piracythe new workplaceidentity and privacynetworking Canada's Far North ... Read more

Customer Reviews (3)

A warning to FUZZY LOGIC researchers
This book is not a textbook of fuzzy logic which is a logic based on Zadeh's fuzzy sets. You should not look forward to readily learning fuzzy logics by reading this book. (Unfortunately, it means me.) For the contents of this book, please read the other reviews deeply. However, the subtile of this book and the fact that customers who bought this book also bought "Fuzzy Sets and Fuzzy Logic: Theory and Applications" on Amazon.com, are very misleading to customers.

I loved this book
Fuzzy Logic is the best book of its kind that I've read. Friedman gets straight to the heart of things, and doesn't get caught up in the techno-gobbledegook that mars so many other books like this.

It's asignificant acheivement and an IMPORTANT book. A must read for anyone whoreally wants to know what's going on with new media and new technologies.

Great book!
Definitely worth reading. Cuts through the Internet hype ... Read more