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Introduction to Fuzzy Sets Fuzzy Logic and Fuzzy Control Systems

Introduction to Fuzzy Sets Fuzzy Logic and Fuzzy Control Systems

In the early 1970s fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's art of building a working fuzzy controller has turned into today's science of systematic design. To keep pace with and further advance the rapidly developing field of applied control technologies engineers both present and future need some systematic training in the analytic theory and rigorous design of fuzzy control systems. Introduction to Fuzzy Sets Fuzzy Logic and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic and then building a practical theory for automatic control of uncertain and ill-modeled systems encountered in many engineering applications. The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application examples. Almost entirely self-contained Introduction to Fuzzy Sets Fuzzy Logic and Fuzzy Control Systems establishes a strong foundation for designing and analyzing fuzzy control systems under uncertain and irregular conditions. Mastering its contents gives students a clear understanding of fuzzy control systems theory that prepares them for deeper and broader studies and for many practical challenges faced in modern industry.

GBP 59.99
1

Medical Image Processing Advanced Fuzzy Set Theoretic Techniques

Medical Image Processing Advanced Fuzzy Set Theoretic Techniques

Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the introduction of fuzzy set theory there has been an explosion of interest in advanced fuzzy set theories—such as intuitionistic fuzzy and Type II fuzzy set—that represent uncertainty in a better way. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques deals with the application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students this higher-level text:Provides a brief introduction to advanced fuzzy set theory fuzzy/intuitionistic fuzzy aggregation operators and distance/similarity measuresCovers medical image enhancement using advanced fuzzy sets including MATLAB®-based examples to increase contrast of the imagesDescribes intuitionistic fuzzy and Type II fuzzy thresholding techniques that separate different regions/leukocyte types/abnormal lesionsDemonstrates the clustering of unwanted lesions/regions even in the presence of noise by applying intuitionistic fuzzy clusteringHighlights the edges of poorly illuminated images and uses intuitionistic fuzzy edge detection to find the edges of different regionsDefines fuzzy mathematical morphology and explores its application using the Lukasiewicz operator t-norms and t-conormsMedical Image Processing: Advanced Fuzzy Set Theoretic Techniques is useful not only for students but also for teachers engineers scientists and those interested in the field of medical image analysis. A basic knowledge of fuzzy set is required along with a solid understanding of mathematics and image processing. | Medical Image Processing Advanced Fuzzy Set Theoretic Techniques

GBP 44.99
1

Mathematical Modeling using Fuzzy Logic Applications to Sustainability

Mathematical Modeling using Fuzzy Logic Applications to Sustainability

Mathematical Modeling using Fuzzy Logic has been a dream project for the author. Fuzzy logic provides a unique method of approximate reasoning in an imperfect world. This text is a bridge to the principles of fuzzy logic through an application-focused approach to selected topics in engineering and management. The many examples point to the richer solutions obtained through fuzzy logic and to the possibilities of much wider applications.  There are relatively very few texts available at present in fuzzy logic applications. The style and content of this text is complementary to those already available. New areas of application like application of fuzzy logic in modeling of sustainability are presented in a graded approach in which the underlying concepts are first described. The text is broadly divided into two parts: the first treats processes materials and system applications related to fuzzy logic and the second delves into the modeling of sustainability with the help of fuzzy logic. This book offers comprehensive coverage of the most essential topics including: Treating processes materials system applications related to fuzzy logic Highlighting new areas of application of fuzzy logic Identifying possibilities of much wider applications of fuzzy logic Modeling of sustainability with the help of fuzzy logic The level enables a selection of the text to be made for the substance of undergraduate- graduate- and postgraduate-level courses. There is also sufficient volume and quality for the basis of a postgraduate course. A more restricted and judicious selection can provide the material for a professional short course and various university-level courses. | Mathematical Modeling using Fuzzy Logic Applications to Sustainability

GBP 105.00
1

A Learner’s Guide to Fuzzy Logic Systems Second Edition

A Learner’s Guide to Fuzzy Logic Systems Second Edition

This book presents an introductory coverage of fuzzy logic including basic principles from an interdisciplinary perspective. It includes concept of evolving a fuzzy set and fuzzy set operations fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets design and selected applications. Preliminary concepts of Neural Networks and Genetic Algorithm are added features with relevant examples and exercises. It is primarily intended for undergraduate and postgraduate students and researchers to facilitate education in the ever-increasing field of fuzzy logic as medium between human intelligence and machine. | A Learner’s Guide to Fuzzy Logic Systems Second Edition

GBP 52.99
1

Neuro-Fuzzy Equalizers for Mobile Cellular Channels

Neuro-Fuzzy Equalizers for Mobile Cellular Channels

Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a mobile broadband communication channel and designing of a neuro-fuzzy adaptive equalizer for it. This book focuses on the concept of the simulation of wireless channel equalizers using the adaptive-network-based fuzzy inference system (ANFIS). The book highlights a study of currently existing equalizers for wireless channels. It discusses several techniques for channel equalization including the type-2 fuzzy adaptive filter (type-2 FAF) compensatory neuro-fuzzy filter (CNFF) and radial basis function (RBF) neural network. Neuro-Fuzzy Equalizers for Mobile Cellular Channels starts with a brief introduction to channel equalizers and the nature of mobile cellular channels with regard to the frequency reuse and the resulting CCI. It considers the many channel models available for mobile cellular channels establishes the mobile indoor channel as a Rayleigh fading channel presents the channel equalization problem and focuses on various equalizers for mobile cellular channels. The book discusses conventional equalizers like LE and DFE using a simple LMS algorithm and transversal equalizers. It also covers channel equalization with neural networks and fuzzy logic and classifies various equalizers. This being a fairly new branch of study the book considers in detail the concept of fuzzy logic controllers in noise cancellation problems and provides the fundamental concepts of neuro-fuzzy. The final chapter offers a recap and explores venues for further research. This book also establishes a common mathematical framework of the equalizers using the RBF model and develops a mathematical model for ultra-wide band (UWB) channels using the channel co-variance matrix (CCM). Introduces the novel concept of the application of adaptive-network-based fuzzy inference system (ANFIS) in the design of wireless channel equalizers Provides model ultra-wide band (UWB) channels using channel co-variance matrix Offers a formulation of a unified radial basis function (RBF) framework for ANFIS-based and fuzzy adaptive filter (FAF) Type II as well as compensatory neuro-fuzzy equalizers Includes extensive use of MATLAB® as the simulation tool in all the above cases

GBP 52.99
1

Rough Fuzzy Image Analysis Foundations and Methodologies

Rough Fuzzy Image Analysis Foundations and Methodologies

Fuzzy sets near sets and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy near and rough sets in image analysis Rough Fuzzy Image Analysis: Foundations and Methodologies introduces the fundamentals and applications in the state of the art of rough fuzzy image analysis. In the first chapter the distinguished editors explain how fuzzy near and rough sets provide the basis for the stages of pictorial pattern recognition: image transformation feature extraction and classification. The text then discusses hybrid approaches that combine fuzzy sets and rough sets in image analysis illustrates how to perform image analysis using only rough sets and describes tolerance spaces and a perceptual systems approach to image analysis. It also presents a free downloadable implementation of near sets using the Near Set Evaluation and Recognition (NEAR) system which visualizes concepts from near set theory. In addition the book covers an array of applications particularly in medical imaging involving breast cancer diagnosis laryngeal pathology diagnosis and brain MR segmentation. Edited by two leading researchers and with contributions from some of the best in the field this volume fully reflects the diversity and richness of rough fuzzy image analysis. It deftly examines the underlying set theories as well as the diverse methods and applications. | Rough Fuzzy Image Analysis Foundations and Methodologies

GBP 68.99
1

Recent Advances and Applications of Fuzzy Metric Fixed Point Theory

Recent Advances and Applications of Fuzzy Metric Fixed Point Theory

This book not only presents essential material to understand fuzzy metric fixed point theory but also enables the readers to appreciate the recent advancements made in this direction. It contains seven chapters on different topics in fuzzy metric fixed point theory. These chapters cover a good range of interesting topics such as con- vergence problems in fuzzy metrics fixed figure problems and applications of fuzzy metrics. The main focus is to unpack a number of diverse aspects of fuzzy metric fixed point theory and its applications in an understandable way so that it could help and motivate young graduates to explore new avenues of research to extend this flourishing area in different directions. The discussion on fixed figure problems and fuzzy contractive fixed point theorems and their different generalizations invites active researchers in this field to develop a new branch of fixed point theory. Features: Explore the latest research and developments in fuzzy metric fixed point theory. Describes applications of fuzzy metrics to colour image processing. Covers new topics on fuzzy fixed figure problems. Filled with examples and open problems. This book serves as a reference book for scientific investigators who want to analyze a simple and direct presentation of the fundamentals of the theory of fuzzy metric fixed point and its applications. It may also be used as a textbook for postgraduate and research students who try to derive future research scope in this area. | Recent Advances and Applications of Fuzzy Metric Fixed Point Theory

GBP 150.00
1

A First Course in Fuzzy Logic

A First Course in Fuzzy Logic

A First Course in Fuzzy Logic Fourth Edition is an expanded version of the successful third edition. It provides a comprehensive introduction to the theory and applications of fuzzy logic. This popular text offers a firm mathematical basis for the calculus of fuzzy concepts necessary for designing intelligent systems and a solid background for readers to pursue further studies and real-world applications. New in the Fourth Edition:Features new results on fuzzy sets of type-2Provides more information on copulas for modeling dependence structuresIncludes quantum probability for uncertainty modeling in social sciences especially in economicsWith its comprehensive updates this new edition presents all the background necessary for students instructors and professionals to begin using fuzzy logic in its many—applications in computer science mathematics statistics and engineering. About the Authors:Hung T. Nguyen is a Professor Emeritus at the Department of Mathematical Sciences New Mexico State University. He is also an Adjunct Professor of Economics at Chiang Mai University Thailand. Carol L. Walker is also a Professor Emeritus at the Department of Mathematical Sciences New Mexico State University. Elbert A. Walker is a Professor Emeritus Department of Mathematical Sciences New Mexico State University.

GBP 42.99
1

FRAYA, alpaca yarn "Fuzzy", green

FRAYA, alpaca yarn "Fuzzy", green

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", black

FRAYA, alpaca yarn "Fuzzy", black

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", rose

FRAYA, alpaca yarn "Fuzzy", rose

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", pink

FRAYA, alpaca yarn "Fuzzy", pink

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", rust

FRAYA, alpaca yarn "Fuzzy", rust

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

Baylis & Harding The Fuzzy Duck Luxury Foot Care Gift Box

Baylis & Harding The Fuzzy Duck Luxury Foot Care Gift Box

Treat yourself or a loved one with an exclusive and delicious foot care set from Baylis & Harding. The box contains a 50ml body wash 100g foot bath crystals 100g soap block and a moisturising foot lotion with a scent of mistletoe cranberry cranberry gin & tonic and the new scent of gingerbread. In addition, the box also includes a pair of light coloured slippers in sizes 36-40.InformationBrand: Baylis & HardingType: GiftwareSeries: The Fuzzy DuckModel: Luxery Slipper SetContents: 5 pieces

GBP 22.19
4

FRAYA, alpaca yarn "Fuzzy", purple melange

FRAYA, alpaca yarn "Fuzzy", purple melange

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", jade green

FRAYA, alpaca yarn "Fuzzy", jade green

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", light grey

FRAYA, alpaca yarn "Fuzzy", light grey

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", hunting green

FRAYA, alpaca yarn "Fuzzy", hunting green

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", grey melange

FRAYA, alpaca yarn "Fuzzy", grey melange

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", grey brown

FRAYA, alpaca yarn "Fuzzy", grey brown

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", cobolt blue

FRAYA, alpaca yarn "Fuzzy", cobolt blue

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1

FRAYA, alpaca yarn "Fuzzy", mustard yellow

FRAYA, alpaca yarn "Fuzzy", mustard yellow

Fraya Fuzzy is a soft and charming yarn with a light, fluffy expression. With a blend of alpaca, merino wool, and polyamide, you get both softness, warmth, and durability in one yarn. It is perfect for cozy sweaters, cardigans, and other projects where comfort and structure go hand in hand. Use it with one or two strands depending on how much volume you desire – Fuzzy is ideal for those who love a soft look with lots of personality.Composition: 74% alpaca, 13% merino, 13% polyamideYardage: 50 g = 135 mRecommended needles: 4.5 - 5.5 mmGauge: 10 x 10 cm = 13 sts x 20 rowsCare: Machine wash on wool cycle at 30°C, use wool detergent, avoid fabric softener. Dry flat.

GBP 5.70
1