Fuzzy Logic Based Programming

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Fuzzy-logic-based Programming

Author : Chin-Liang Chang
Publisher : World Scientific
ISBN 13 : 9789810230708
Total Pages : 258 pages
Book Rating : 4.2/5 (37 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 with total page 258 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.

A Practical Introduction to Fuzzy Logic using LISP

Author : Luis Argüelles Mendez
Publisher : Springer
ISBN 13 : 3319231863
Total Pages : 370 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis A Practical Introduction to Fuzzy Logic using LISP by : Luis Argüelles Mendez

Download or read book A Practical Introduction to Fuzzy Logic using LISP written by Luis Argüelles Mendez and published by Springer. This book was released on 2015-09-11 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book makes use of the LISP programming language to provide readers with the necessary background to understand and use fuzzy logic to solve simple to medium-complexity real-world problems. It introduces the basics of LISP required to use a Fuzzy LISP programming toolbox, which was specifically implemented by the author to “teach” the theory behind fuzzy logic and at the same time equip readers to use their newly-acquired knowledge to build fuzzy models of increasing complexity. The book fills an important gap in the literature, providing readers with a practice-oriented reference guide to fuzzy logic that offers more complexity than popular books yet is more accessible than other mathematical treatises on the topic. As such, students in first-year university courses with a basic tertiary mathematical background and no previous experience with programming should be able to easily follow the content. The book is intended for students and professionals in the fields of computer science and engineering, as well as disciplines including astronomy, biology, medicine and earth sciences. Software developers may also benefit from this book, which is intended as both an introductory textbook and self-study reference guide to fuzzy logic and its applications. The complete set of functions that make up the Fuzzy LISP programming toolbox can be downloaded from a companion book’s website.

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.

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.

Logic Programming

Author : Marcus J. Lambert
Publisher : Nova Science Publishers
ISBN 13 : 9781631178535
Total Pages : 0 pages
Book Rating : 4.1/5 (785 download)

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Book Synopsis Logic Programming by : Marcus J. Lambert

Download or read book Logic Programming written by Marcus J. Lambert and published by Nova Science Publishers. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prolog for logic programming is one of the most intensively studied software languages in the 1980s. During the same period, the data-flow model for parallel computation attracted a lot of attention of researchers in the computer science; hence, it was very natural that several approaches were tried toward combining the two and implementing logic programs in parallel machines with the data-flow architecture. These approaches, however, were rather indirect ones in the sense that they developed programs describing AND/OR-parallelism for deduction using a data-flow language and executed them in a data-flow computer, and yet did not devise a direct' model for parallel execution (reasoning) of a logic program. This book discusses fuzzy logic inferencing for Pong; dislog; SEProlog; and provides direct graphical representations of first-order logic for inference.

Fuzzy Logic-Based Modeling in Collaborative and Blended Learning

Author : Hadjileontiadou, Sofia J.
Publisher : IGI Global
ISBN 13 : 1466687061
Total Pages : 520 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Fuzzy Logic-Based Modeling in Collaborative and Blended Learning by : Hadjileontiadou, Sofia J.

Download or read book Fuzzy Logic-Based Modeling in Collaborative and Blended Learning written by Hadjileontiadou, Sofia J. and published by IGI Global. This book was released on 2015-07-31 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology has dramatically changed the way in which knowledge is shared within and outside of traditional classroom settings. The application of fuzzy logic to new forms of technology-centered education has presented new opportunities for analyzing and modeling learner behavior. Fuzzy Logic-Based Modeling in Collaborative and Blended Learning explores the application of the fuzzy set theory to educational settings in order to analyze the learning process, gauge student feedback, and enable quality learning outcomes. Focusing on educational data analysis and modeling in collaborative and blended learning environments, this publication is an essential reference source for educators, researchers, educational administrators and designers, and IT specialists. This premier reference monograph presents key research on educational data analysis and modeling through the integration of research on advanced modeling techniques, educational technologies, fuzzy concept maps, hybrid modeling, neuro-fuzzy learning management systems, and quality of interaction.

Introduction to Fuzzy Logic

Author : James K. Peckol
Publisher : John Wiley & Sons
ISBN 13 : 1119772613
Total Pages : 308 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Introduction to Fuzzy Logic by : James K. Peckol

Download or read book Introduction to Fuzzy Logic written by James K. Peckol and published by John Wiley & Sons. This book was released on 2021-08-02 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn more about the history, foundations, and applications of fuzzy logic in this comprehensive resource by an academic leader Introduction to Fuzzy Logic delivers a high-level but accessible introduction to the rapidly growing and evolving field of fuzzy logic and its applications. Distinguished engineer, academic, and author James K. Peckol covers a wide variety of practical topics, including the differences between crisp and fuzzy logic, the people and professions who find fuzzy logic useful, and the advantages of using fuzzy logic. While the book assumes a solid foundation in embedded systems, including basic logic design, and C/C++ programming, it is written in a practical and easy-to-read style that engages the reader and assists in learning and retention. The author includes introductions of threshold and perceptron logic to further enhance the applicability of the material contained within. After introducing readers to the topic with a brief description of the history and development of the field, Introduction to Fuzzy Logic goes on to discuss a wide variety of foundational and advanced topics, like: A review of Boolean algebra, including logic minimization with algebraic means and Karnaugh maps A discussion of crisp sets, including classic set membership, set theory and operations, and basic classical crisp set properties A discussion of fuzzy sets, including the foundations of fuzzy sets logic, set membership functions, and fuzzy set properties An analysis of fuzzy inference and approximate reasoning, along with the concepts of containment and entailment and relations between fuzzy subsets Perfect for mid-level and upper-level undergraduate and graduate students in electrical, mechanical, and computer engineering courses, Introduction to Fuzzy Logic covers topics included in many artificial intelligence, computational intelligence, and soft computing courses. Math students and professionals in a wide variety of fields will also significantly benefit from the material covered in this book.

Microelectronic Design of Fuzzy Logic-Based Systems

Author : Iluminada Baturone
Publisher : CRC Press
ISBN 13 : 1482273861
Total Pages : 336 pages
Book Rating : 4.4/5 (822 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 2018-10-08 with total page 336 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

Design of Logic-based Intelligent Systems

Author : Klaus Truemper
Publisher : John Wiley & Sons
ISBN 13 : 9780471484035
Total Pages : 368 pages
Book Rating : 4.4/5 (84 download)

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Book Synopsis Design of Logic-based Intelligent Systems by : Klaus Truemper

Download or read book Design of Logic-based Intelligent Systems written by Klaus Truemper and published by John Wiley & Sons. This book was released on 2004-05-20 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles for constructing intelligent systems Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an extension of propositional logic that treats all aspects of intelligent systems in a unified and mathematically compatible manner. Topics include: * Levels of thinking and logic * Special cases: expert systems and intelligent agents * Formulating and solving logic systems * Reasoning under uncertainty * Learning logic formulas from data * Nonmonotonic and incomplete reasoning * Question-and-answer processes * Intelligent systems that construct intelligent systems Design of Logic-based Intelligent Systems is both a handbook for the AI practitioner and a textbook for advanced undergraduate and graduate courses on intelligent systems. Included are more than forty algorithms, and numerous examples and exercises. The purchaser of the book may obtain an accompanying software package (Leibniz System) free of charge via the internet at leibnizsystem.com.

Logic Programming

Author : Marcus J. Lambert
Publisher :
ISBN 13 : 9781631178542
Total Pages : 159 pages
Book Rating : 4.1/5 (785 download)

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Book Synopsis Logic Programming by : Marcus J. Lambert

Download or read book Logic Programming written by Marcus J. Lambert and published by . This book was released on 2014 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prolog for logic programming is one of the most intensively studied software languages in the 1980s. During the same period, the data-flow model for parallel computation attracted a lot of attention of researchers in the computer science; hence, it was very natural that several approaches were tried toward combining the two and implementing logic programs in parallel machines with the data-flow architecture. These approaches, however, were rather indirect ones in the sense that they developed programs describing AND/OR-parallelism for deduction using a data-flow language and executed them in a data-flow computer, and yet did not devise a 'direct' model for parallel execution (reasoning) of a logic program. This book discusses fuzzy logic inferencing for Pong; dislog; SEProlog; and provides direct graphical representations of first-order logic for inference.

Fuzzy Logic for the Management of Uncertainty

Author : Lotfi Asker Zadeh
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 696 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Fuzzy Logic for the Management of Uncertainty by : Lotfi Asker Zadeh

Download or read book Fuzzy Logic for the Management of Uncertainty written by Lotfi Asker Zadeh and published by Wiley-Interscience. This book was released on 1992-07-30 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Logic for the Management of Uncertainty covers many important topics, including:" "Developments in mathematics that have paved the road for fuzzy logic;" "Deep, and of a broad perspective, exposition of virtually all approaches used in contemporary science for the representation and handling of imperfect (uncertain, imprecise, vague, ambiguous, etc.) information;" "Coverage of practically all relevant and promising directions and approaches in fuzzy logic research including LT--fuzzy logic, model theoretic approaches, intuitionistic fuzzy logic, nonmonotonic fuzzy logic, modifier fuzzy logic;" "VLSI fuzzy logic-based chips that have triggered the implementation of fuzzy logic in so many fields of science and technology;" "A broad coverage of fuzzy logic in approximate reasoning, including basic issues related to the role of fuzzy logic for approximate reasoning, analyses of various definitions of fuzzy implication that is a crucial element in fuzzy logic-based reasoning schemes,

Fuzzy Logic for Business, Finance, and Management

Author : George Bojadziev
Publisher : World Scientific
ISBN 13 : 9812770623
Total Pages : 253 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Fuzzy Logic for Business, Finance, and Management by : George Bojadziev

Download or read book Fuzzy Logic for Business, Finance, and Management written by George Bojadziev and published by World Scientific. This book was released on 2007 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.

Fuzzy Logic in Artificial Intelligence

Author : Anca L. Ralescu
Publisher : Springer Science & Business Media
ISBN 13 : 9783540663744
Total Pages : 264 pages
Book Rating : 4.6/5 (637 download)

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Book Synopsis Fuzzy Logic in Artificial Intelligence by : Anca L. Ralescu

Download or read book Fuzzy Logic in Artificial Intelligence written by Anca L. Ralescu and published by Springer Science & Business Media. This book was released on 1999-07-28 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the thoroughly refereed post-workshop proceedings of an international workshop on fuzzy logic in Artificial Intelligence held in Negoya, Japan during IJCAI '97. The 17 revised full papers presented have gone through two rounds of reviewing and revision. Three papers by leading authorities in the area are devoted to the general relevance of fuzzy logic and fuzzy sets to AI. The remaining papers address various relevant issues ranging from theory to application in areas like knowledge representation, induction, logic programming, robotics, pattern recognition, etc.

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.

C++ Neural Networks and Fuzzy Logic

Author : Hayagriva V. Rao
Publisher :
ISBN 13 : 9788170296942
Total Pages : 551 pages
Book Rating : 4.2/5 (969 download)

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Book Synopsis C++ Neural Networks and Fuzzy Logic by : Hayagriva V. Rao

Download or read book C++ Neural Networks and Fuzzy Logic written by Hayagriva V. Rao and published by . This book was released on 1996 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Logic in Intelligent System Design

Author : Patricia Melin
Publisher : Springer
ISBN 13 : 3319671375
Total Pages : 422 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Fuzzy Logic in Intelligent System Design by : Patricia Melin

Download or read book Fuzzy Logic in Intelligent System Design written by Patricia Melin and published by Springer. This book was released on 2017-09-30 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

A First Course in Fuzzy Logic

Author : Hung T. Nguyen
Publisher : CRC Press
ISBN 13 : 1420057103
Total Pages : 436 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis A First Course in Fuzzy Logic by : Hung T. Nguyen

Download or read book A First Course in Fuzzy Logic written by Hung T. Nguyen and published by CRC Press. This book was released on 2005-10-06 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A First Course in Fuzzy Logic, Third Edition continues to provide the ideal introduction to the theory and applications of fuzzy logic. This best-selling text provides 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 a