Fuzzy Logic Based Software Systems

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Fuzzy Logic-Based Software Systems

Author : Konstantina Chrysafiadi
Publisher : Springer Nature
ISBN 13 : 3031444574
Total Pages : 187 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Fuzzy Logic-Based Software Systems by : Konstantina Chrysafiadi

Download or read book Fuzzy Logic-Based Software Systems written by Konstantina Chrysafiadi and published by Springer Nature. This book was released on 2023-11-16 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide information about significant advances of Fuzzy Logic in software systems to researchers, scientists, educators, students, software engineers and developers. In particular, this book explains how Fuzzy Logic, can be used in software systems to automatically predict, model, decide, diagnose, recommend etc.. In more details, Fuzzy Logic is an artificial intelligent technique that is ideal for successfully addressing, , the uncertainty, imprecision and vagueness that exist in many diverse scientific and technological areas. It was introduced by Lotfi A. Zadeh of the University of California at Berkeley, as a methodology for computing with words. This ability of Fuzzy Logic allows the representation of imprecise and vague data in a more realistic way. Therefore, Fuzzy Logic-based systems can simulate the human reasoning and decision-making processes, addressing the human subjectivity. Fuzzy Logic-based software systems are referred to any software that concerns an automated program or process that is used in everyday life, like heating or air-conditioning system, or in the scientific world, like a medical diagnostic system, which uses Fuzzy Logic in order to perform reasoning. A Fuzzy Logic-based system consists of three basic modules: Fuzzifier, Inference Engine and Defuzzifier. The Fuzzifier accepts as input numerical data and assigns them to fuzzy sets with some degree of membership, converting crisp data to fuzzy sets. The Inference Engine applies fuzzy rules over the defined fuzzy sets and produces outputs based on linguistic information. The Defuzzifier, converts fuzzy values into crisp values. The use of Fuzzy Logic in software systems constitutes a compelling and active research area in recent years, especially due to the increased interest in artificial intelligence. In the view of the above, this book presents thoroughly the Fuzzy Logic theory and the structure and operation of a Fuzzy Logic-based system. It also explains the role of Fuzzy Logic in artificial intelligence and smart applications, presenting how it can improve the efficiency and effectiveness of automatic processes and tasks. Furthermore, the book describes techniques of artificial intelligence with which the fuzzy logic is combined and how. Furthermore, this book presents several Fuzzy Logic-based software systems in the discipline of medicine, education, decision making and recommendation, natural language processing, automotive engineering and industry, heating, ventilation and air-conditioning, navigation, scheduling, network traffic and security. Thereby, this book can provide deep insights and valuable information not only to readers of computer science-related disciplines, but also to readers, who come from a variety of disciplines and are interesting in systems that perform tasks related to their discipline, in a more efficient way.

Fuzzy-logic-based Programming

Author : Chin-liang Chang
Publisher : World Scientific
ISBN 13 : 9814497657
Total Pages : 256 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Fuzzy-logic-based Programming by : Chin-liang Chang

Download or read book Fuzzy-logic-based Programming written by Chin-liang Chang and published by World Scientific. This book was released on 1997-09-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The number of fuzzy logic applications is very large. This book tells the reader how to use fuzzy logic to find solutions in areas such as control systems, factory automation, product quality control, product inspection, instrumentation, pattern recognition, image analysis, database query processing, decision support, data mining, time series (waveform) databases, geographic information systems, and image databases. Those who have applications in these areas will find the book invaluable.The author was the first student to write a PhD fuzzy logic thesis under Professor Lotfi A Zadeh (the inventor of fuzzy logic), in 1967 at the University of California, Berkeley. In 1993, he designed and introduced the NICEL language for writing fuzzy programs that enclose if-then rules. NICEL is powerful and easy to use. The reader will find in the book that many algorithms for real world applications can be conveniently represented in NICEL.

Fuzzy Logic

Author : F. Martin McNeill
Publisher : Academic Press
ISBN 13 : 1483266222
Total Pages : 317 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Fuzzy Logic by : F. Martin McNeill

Download or read book Fuzzy Logic written by F. Martin McNeill and published by Academic Press. This book was released on 2014-05-10 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Logic: A Practical Approach focuses on the processes and approaches involved in fuzzy logic, including fuzzy sets, numbers, and decisions. The book first elaborates on fuzzy numbers and logic, fuzzy systems on the job, and Fuzzy Knowledge Builder. Discussions focus on formatting the knowledge base for an inference engine, personnel detection system, using a knowledge base in an inference engine, fuzzy business systems, industrial fuzzy systems, fuzzy sets and numbers, and quantifying word-based rules. The text then elaborates on designing a fuzzy decision and Fuzzy Thought Amplifier for complex situations. Topics include origins of cognitive maps, Fuzzy Thought Amplifier, training a map to predict the future, introducing the Fuzzy Decision Maker, and merging interests. The publication takes a look at fuzzy associative memory, fuzzy sets as hypercube points, and disk files and descriptions, including Fuzzy Thought Amplifier, Fuzzy Decision Maker, and composing and creating a memory. The text is a valuable source of data for researchers interested in fuzzy logic.

Fuzzy Logic

Author : Marek J. Patyra
Publisher : John Wiley & Sons
ISBN 13 : 9783519064503
Total Pages : 317 pages
Book Rating : 4.0/5 (645 download)

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Book Synopsis Fuzzy Logic by : Marek J. Patyra

Download or read book Fuzzy Logic written by Marek J. Patyra and published by John Wiley & Sons. This book was released on 1996-01-01 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic-based circuits are instrumental in computer hardware applications. Currently, they are widely relied upon to recognize gradual and relative properties in electronic and real data. This comprehensive edited volume focuses on 'fuzzy technology'. Presented in four clearly organized thematic sections, coverage includes fuzzy set theory, fuzzy logic control, examples of fuzzy logic implementations and finally examples of neuro-fuzzy hybrid systems and their applications. Written by a team of internationally renowned computer science specialists, this is a forward-looking account of the emergence of neuro-fuzzy systems. Professional computer scientists and engineers developing fuzzy logic applications will find this an invaluable reference. Researchers and students in the broad field of artificial intelligence will find this a source of inspiration.

Fuzzy Logic for Embedded Systems Applications

Author : Ahmad Ibrahim
Publisher : Newnes
ISBN 13 : 9780750676052
Total Pages : 316 pages
Book Rating : 4.6/5 (76 download)

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Book Synopsis Fuzzy Logic for Embedded Systems Applications by : Ahmad Ibrahim

Download or read book Fuzzy Logic for Embedded Systems Applications written by Ahmad Ibrahim and published by Newnes. This book was released on 2004 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extensive coverage of both the theory and application of fuzzy logic design.

Introduction to Fuzzy Systems

Author : Guanrong Chen
Publisher : CRC Press
ISBN 13 : 1584885319
Total Pages : 332 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Introduction to Fuzzy Systems by : Guanrong Chen

Download or read book Introduction to Fuzzy Systems written by Guanrong Chen and published by CRC Press. This book was released on 2005-11-16 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic control theory. Introduction to Fuzzy Systems is primarily designed to provide training for systems and control majors, both senior undergraduate and first year graduate students, to acquaint them with the fundamental mathematical theory and design methodology required to understand and utilize fuzzy control systems.

Fuzzy Logic with Engineering Applications

Author : Timothy J. Ross
Publisher : John Wiley & Sons
ISBN 13 : 0470860766
Total Pages : 652 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Fuzzy Logic with Engineering Applications by : Timothy J. Ross

Download or read book Fuzzy Logic with Engineering Applications written by Timothy J. Ross and published by John Wiley & Sons. This book was released on 2005-04-08 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowledge. Fuzzy logic is a reasoning system based on a foundation of fuzzy set theory, itself an extension of classical set theory, where set membership can be partial as opposed to all or none, as in the binary features of classical logic. Fuzzy logic is a relatively new discipline in which major advances have been made over the last decade or so with regard to theory and applications. Following on from the successful first edition, this fully updated new edition is therefore very timely and much anticipated. Concentration on the topics of fuzzy logic combined with an abundance of worked examples, chapter problems and commercial case studies is designed to help motivate a mainstream engineering audience, and the book is further strengthened by the inclusion of an online solutions manual as well as dedicated software codes. Senior undergraduate and postgraduate students in most engineering disciplines, academics and practicing engineers, plus some working in economics, control theory, operational research etc, will all find this a valuable addition to their bookshelves.

Microelectronic Design of Fuzzy Logic-Based Systems

Author : Iluminada Baturone
Publisher : CRC Press
ISBN 13 : 9780849300912
Total Pages : 340 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Microelectronic Design of Fuzzy Logic-Based Systems by : Iluminada Baturone

Download or read book Microelectronic Design of Fuzzy Logic-Based Systems written by Iluminada Baturone and published by CRC Press. This book was released on 2000-03-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic has virtually exploded over the landscape of emerging technologies, becoming an integral part of myriad applications and a standard tool for engineers. Until recently, most of the attention and applications have centered on fuzzy systems implemented in software. But these systems are limited. Problems that require real-time operation, low area, or low power consumption demand hardware designed to the fuzzy paradigm - and engineers with the background and skills to design it. Microelectronic Design of Fuzzy Logic-Based Systems offers low-cost answers to issues that software cannot resolve. From the theoretical, architectural, and technological foundation to design tools and applications, it serves as your guide to effective hardware realizations of fuzzy logic. Review fuzzy logic theory and the basic issues of fuzzy sets, operators, and inference mechanisms Explore the trade-offs between efficient theoretical behavior and practical hardware realizations Discover the properties of the possible microelectronic realizations of fuzzy systems - conventional processors, fuzzy coprocessors, and fuzzy chips Investigate the design of fuzzy chips that implement the whole fuzzy inference method into silicon Analyze analog, digital, and mixed-signal techniques Reduce your design effort for fuzzy systems with CAD tools - learn the requirements they should meet and survey current environments. Put it all together - see examples and case studies illustrating how all of this is used to solve particular problems related to control and neuro-fuzzy applications

Introduction to Fuzzy Logic using MATLAB

Author : S.N. Sivanandam
Publisher : Springer Science & Business Media
ISBN 13 : 3540357815
Total Pages : 442 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Introduction to Fuzzy Logic using MATLAB by : S.N. Sivanandam

Download or read book Introduction to Fuzzy Logic using MATLAB written by S.N. Sivanandam and published by Springer Science & Business Media. This book was released on 2006-10-28 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad-ranging, but detailed overview of the basics of Fuzzy Logic. The fundamentals of Fuzzy Logic are discussed in detail, and illustrated with various solved examples. The book also deals with applications of Fuzzy Logic, to help readers more fully understand the concepts involved. Solutions to the problems are programmed using MATLAB 6.0, with simulated results. The MATLAB Fuzzy Logic toolbox is provided for easy reference.

Fuzzy Rule Based Computer Design

Author : John R. Newport
Publisher : CRC Press
ISBN 13 : 9780849378348
Total Pages : 276 pages
Book Rating : 4.3/5 (783 download)

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Book Synopsis Fuzzy Rule Based Computer Design by : John R. Newport

Download or read book Fuzzy Rule Based Computer Design written by John R. Newport and published by CRC Press. This book was released on 1995-10-09 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the theory and some examples of rule based reasoning applied to computer design. The presentation begins with design methods. These include both structured, object oriented design applied to software and systems engineering using several examples. Rule based reasoning, fuzzy logic, and new methods of virtual prototyping of computer designs are also covered. Virtual prototyping, in contrast to hardware prototyping, offers the promise of much lower design cost and more time to prepare prototypes. A discussion on this topic concludes with a sample implementation of these methods that can be used for computer system design.

New Applications and Developments of Fuzzy Systems

Author : Ibrahim A. Hameed
Publisher : GRIN Verlag
ISBN 13 : 3656152934
Total Pages : 105 pages
Book Rating : 4.6/5 (561 download)

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Book Synopsis New Applications and Developments of Fuzzy Systems by : Ibrahim A. Hameed

Download or read book New Applications and Developments of Fuzzy Systems written by Ibrahim A. Hameed and published by GRIN Verlag. This book was released on 2012-03-19 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2010 in the subject Computer Sciences - Artificial Intelligence, grade: PhD, Korea University, Seoul (College of Engineering - Dept of Industrial Systems and Information Engineering), course: Intelligence Control and Artificial Intelligence, language: English, abstract: Fuzzy Logic (FL) is a particular area of interest in the study of Artificial intelligence (AI) based on the idea that in fuzzy sets each element in the set can assume a value from 0 to 1, not just 0 or 1, as in classic or crisp set theory. The gradation in the extent to which an element is belonging to the relevant sets is called the degree of membership. This degree of membership is a measure of the element's belonging to the set, and thus of the precision with which it explains the phenomenon being evaluated. A linguistic expression is given to each fuzzy set. The information contents of the fuzzy rules are then used to infer the output using a suitable inference engine. The key contribution of fuzzy logic in computation of information described in natural language made it applicable to a variety of applications and problem domains; from simple control systems to human decision support systems. Yet, despite its long-standing origins, it is a relatively new field, and as such leaves much room for development. The thesis presents two novel applications of fuzzy systems; a human decision support system to help teachers to fairly evaluate students and two hybrid intelligent fuzzy systems; a type-2 fuzzy logic system and a combined type-1 fuzzy logic system and extended Kalamn filter for controlling systems operating under high levels of uncertainties due to various sources of measurement and modeling errors. The combination of fuzzy logic and the classical student evaluation approach produces easy to understand transparent decision model that can be easily understood by students and teachers alike. The developed architecture overcomes the problem of ranking

Fuzzy Logic and Soft Computing

Author : Guoqing Chen
Publisher : Springer Science & Business Media
ISBN 13 : 1461552613
Total Pages : 296 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Fuzzy Logic and Soft Computing by : Guoqing Chen

Download or read book Fuzzy Logic and Soft Computing written by Guoqing Chen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Logic and Soft Computing contains contributions from world-leading experts from both the academic and industrial communities. The first part of the volume consists of invited papers by international authors describing possibilistic logic in decision analysis, fuzzy dynamic programming in optimization, linguistic modifiers for word computation, and theoretical treatments and applications of fuzzy reasoning. The second part is composed of eleven contributions from Chinese authors focusing on some of the key issues in the fields: stable adaptive fuzzy control systems, partial evaluations and fuzzy reasoning, fuzzy wavelet neural networks, analysis and applications of genetic algorithms, partial repeatability, rough set reduction for data enriching, limits of agents in process calculus, medium logic and its evolution, and factor spaces canes. These contributions are not only theoretically sound and well-formulated, but are also coupled with applicability implications and/or implementation treatments. The domains of applications realized or implied are: decision analysis, word computation, databases and knowledge discovery, power systems, control systems, and multi-destinational routing. Furthermore, the articles contain materials that are an outgrowth of recently conducted research, addressing fundamental and important issues of fuzzy logic and soft computing.

Intelligent Control

Author : Clarence W. de Silva
Publisher : CRC Press
ISBN 13 : 1351437682
Total Pages : 362 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Intelligent Control by : Clarence W. de Silva

Download or read book Intelligent Control written by Clarence W. de Silva and published by CRC Press. This book was released on 2018-05-02 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of fuzzy logic and its applications has dramatically changed the face of industrial control engineering. Over the last two decades, fuzzy logic has allowed control engineers to meet and overcome the challenges of developing effective controllers for increasingly complex systems with poorly defined dynamics. Today's engineers need a working knowledge of the principles and techniques of fuzzy logic-Intelligent Control provides it. The author first introduces the traditional control techniques and contrasts them with intelligent control. He then presents several methods of representing and processing knowledge and introduces fuzzy logic as one such method. He highlights the advantages of fuzzy logic over other techniques, indicates its limitations, and describes in detail a hierarchical control structure appropriate for use in intelligent control systems. He introduces a variety of applications, most in the areas of robotics and mechatronics but with others including air conditioning and process/production control. One appendix provides discussion of some advanced analytical concepts of fuzzy logic, another describes a commercially available software system for developing fuzzy logic application. Intelligent Control is filled with worked examples, exercises, problems, and references. No prior knowledge of the subject nor advanced mathematics are needed to comprehend much of the book, making it well-suited as a senior undergraduate or first-year graduate text and a convenient reference tool for practicing professionals.

Fuzzy Logic Based in Optimization Methods and Control Systems and Its Applications

Author : Ali Sadollah
Publisher : BoD – Books on Demand
ISBN 13 : 1789840678
Total Pages : 98 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Fuzzy Logic Based in Optimization Methods and Control Systems and Its Applications by : Ali Sadollah

Download or read book Fuzzy Logic Based in Optimization Methods and Control Systems and Its Applications written by Ali Sadollah and published by BoD – Books on Demand. This book was released on 2018-10-31 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic models can be used to demonstrate human decision making in complex situations, and can therefore be an important tool in examining natural complexity. Moreover, fuzzy logic can be exploited to predict chaotic behaviors. But why is fuzzy logic so valuable? The idea of fuzzy logic has been around since 1965, and since its introduction thousands of applications of fuzzy logic have been implemented in industry, medicine, and even economic applications and patents. How did this invaluable theory achieve such great success? This book aims to compare well-known and well-used membership functions to demonstrate how to select the best membership functions and show when and why to utilize them. This book also demonstrates how different fields of studies utilize fuzzy logic showing its wide reach and relevance.

Fuzzy Logic

Author : Daniel Mcneill
Publisher : Simon and Schuster
ISBN 13 : 0671875353
Total Pages : 324 pages
Book Rating : 4.6/5 (718 download)

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Book Synopsis Fuzzy Logic by : Daniel Mcneill

Download or read book Fuzzy Logic written by Daniel Mcneill and published by Simon and Schuster. This book was released on 1994-04-14 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traces the story of Lofti Zadeh, an Iranian-American professor at Berkeley who began developing fuzzy logic - the way to program computers so they can mimic the imprecise way that humans make decisions.

FLIS

Author : Satheesh Kumar G. Nair
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (154 download)

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Book Synopsis FLIS by : Satheesh Kumar G. Nair

Download or read book FLIS written by Satheesh Kumar G. Nair and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Logic System Application on Selection of Software Components

Author : Santosh Kumar Nanda
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659706868
Total Pages : 64 pages
Book Rating : 4.7/5 (68 download)

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Book Synopsis Fuzzy Logic System Application on Selection of Software Components by : Santosh Kumar Nanda

Download or read book Fuzzy Logic System Application on Selection of Software Components written by Santosh Kumar Nanda and published by LAP Lambert Academic Publishing. This book was released on 2015-05-06 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last decade has shown that object-oriented concept by itself is not that powerful to cope with the rapidly changing requirements of on-going applications. Component based system achieves flexibility by clearly separating the stable parts of systems (i.e. components) form the specification of their composition. In order to realize the reuse of components effectively in component based software development, it is required to measure the reusability of components. However, due to the black-box nature of components where the source of these components are not available, it is difficult to use conventional metrics in components based development as these metrics require analysis of source codes. In this research, we adopt FUZZY Logic based approach to estimate the reusability of components. Several factors of reusability are taken into account.