Fuzzy Logic Based Programming

Author : Chin-Liang Chang
Publisher : World Scientific
Page : 258 pages
File Size : 51,7 Mb
Release : 1997
Category : Computers
ISBN : 9810230702

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Fuzzy-logic-based Programming by Chin-Liang Chang Pdf

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.

Author : Luis Argüelles Mendez
Publisher : Springer
Page : 370 pages
File Size : 46,8 Mb
Release : 2015-09-11
Category : Technology & Engineering
ISBN : 9783319231860

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A Practical Introduction to Fuzzy Logic using LISP by Luis Argüelles Mendez Pdf

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.

Author : Iluminada Baturone,Angel Barriga,Carlos Jimenez-Fernandez,Diego R. Lopez,Santiago Sanchez-Solano
Publisher : CRC Press
Page : 336 pages
File Size : 47,8 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9781482273861

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Microelectronic Design of Fuzzy Logic-Based Systems by Iluminada Baturone,Angel Barriga,Carlos Jimenez-Fernandez,Diego R. Lopez,Santiago Sanchez-Solano Pdf

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

Author : Hadjileontiadou, Sofia J.
Publisher : IGI Global
Page : 520 pages
File Size : 54,5 Mb
Release : 2015-07-31
Category : Education
ISBN : 9781466687066

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

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.

Author : Anca L. Ralescu,James G. Shanahan
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 48,6 Mb
Release : 1999-07-28
Category : Computers
ISBN : 3540663746

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Fuzzy Logic in Artificial Intelligence by Anca L. Ralescu,James G. Shanahan Pdf

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.

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek
Publisher : Springer
Page : 422 pages
File Size : 41,5 Mb
Release : 2017-09-30
Category : Technology & Engineering
ISBN : 9783319671376

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Fuzzy Logic in Intelligent System Design by Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek Pdf

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

Author : Jeroen Janssen,Steven Schockaert,Dirk Vermeir,Martine De Cock
Publisher : Springer Science & Business Media
Page : 180 pages
File Size : 54,5 Mb
Release : 2012-04-26
Category : Computers
ISBN : 9789491216596

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Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach by Jeroen Janssen,Steven Schockaert,Dirk Vermeir,Martine De Cock Pdf

Answer set programming (ASP) is a declarative language tailored towards solving combinatorial optimization problems. It has been successfully applied to e.g. planning problems, configuration and verification of software, diagnosis and database repairs. However, ASP is not directly suitable for modeling problems with continuous domains. Such problems occur naturally in diverse fields such as the design of gas and electricity networks, computer vision and investment portfolios. To overcome this problem we study FASP, a combination of ASP with fuzzy logic -- a class of manyvalued logics that can handle continuity. We specifically focus on the following issues: 1. An important question when modeling continuous optimization problems is how we should handle overconstrained problems, i.e. problems that have no solutions. In many cases we can opt to accept an imperfect solution, i.e. a solution that does not satisfy all the stated rules (constraints). However, this leads to the question: what imperfect solutions should we choose? We investigate this question and improve upon the state-of-the-art by proposing an approach based on aggregation functions. 2. Users of a programming language often want a rich language that is easy to model in. However, implementers and theoreticians prefer a small language that is easy to implement and reason about. We create a bridge between these two desires by proposing a small core language for FASP and by showing that this language is capable of expressing many of its common extensions such as constraints, monotonically decreasing functions, aggregators, S-implicators and classical negation. 3. A well-known technique for solving ASP consists of translating a program P to a propositional theory whose models exactly correspond to the answer sets of P. We show how this technique can be generalized to FASP, paving the way to implement efficient fuzzy answer set solvers that can take advantage of existing fuzzy reasoners.

Author : Marcus J. Lambert
Publisher : Unknown
Page : 159 pages
File Size : 55,7 Mb
Release : 2014
Category : Electronic books
ISBN : 1631178547

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Logic Programming by Marcus J. Lambert Pdf

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.

Author : Anonim
Publisher : Rene Jager
Page : 322 pages
File Size : 54,6 Mb
Release : 1995-06-26
Category : Technology & Engineering
ISBN : 9789090083186

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Fuzzy Logic in Control by Anonim Pdf

Author : Raymond E. Vargas
Publisher : Nova Science Pub Incorporated
Page : 448 pages
File Size : 53,6 Mb
Release : 2009
Category : Mathematics
ISBN : 1604569158

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Fuzzy Logic Theory, Programming and Applications by Raymond E. Vargas Pdf

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, Pattern recognition in Remote Sensing, This book brings together the latest research in the field.

Author : Alfredo Petrosino,Anna Maria Fanelli,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 289 pages
File Size : 52,9 Mb
Release : 2011-08-19
Category : Computers
ISBN : 9783642237126

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Fuzzy Logic and Applications by Alfredo Petrosino,Anna Maria Fanelli,Witold Pedrycz Pdf

This book constitutes the refereed proceedings of the 9th International Workshop on Fuzzy Logic and Applications, WILF 2011 held in Trani, Italy in August 2011. The 34 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on advances in theory of fuzzy sets, advances in fuzzy systems, advances in classification and clustering; and applications.

Author : Cengiz Kahraman,Uzay Uzay Kaymak,Adnan Yazici
Publisher : Springer
Page : 406 pages
File Size : 48,6 Mb
Release : 2016-05-17
Category : Technology & Engineering
ISBN : 9783319310930

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Fuzzy Logic in Its 50th Year by Cengiz Kahraman,Uzay Uzay Kaymak,Adnan Yazici Pdf

This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years. It reports on all types of fuzzy sets, from ordinary to hesitant fuzzy sets, with each one explained by its own developers, authoritative scientists well known for their previous works. Highlighting recent theorems and proofs, the book also explores how fuzzy set theory has come to be extensively used in almost all branches of science, including the health sciences, decision science, earth science and the social sciences alike. It presents a wealth of real-world sample applications, from routing problem to robotics, and from agriculture to engineering. By offering a comprehensive, timely and detailed portrait of the field, the book represents an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on new fuzzy set extensions.

Author : G. Gerla
Publisher : Springer Science & Business Media
Page : 276 pages
File Size : 55,5 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9789401596602

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Fuzzy Logic by G. Gerla Pdf

Fuzzy logic in narrow sense is a promising new chapter of formal logic whose basic ideas were formulated by Lotfi Zadeh (see Zadeh [1975]a). The aim of this theory is to formalize the "approximate reasoning" we use in everyday life, the object of investigation being the human aptitude to manage vague properties (as, for example, "beautiful", "small", "plausible", "believable", etc. ) that by their own nature can be satisfied to a degree different from 0 (false) and I (true). It is worth noting that the traditional deductive framework in many-valued logic is different from the one adopted in this book for fuzzy logic: in the former logics one always uses a "crisp" deduction apparatus, producing crisp sets of formulas, the formulas that are considered logically valid. By contrast, fuzzy logical deductive machinery is devised to produce a fuzzy set of formulas (the theorems) from a fuzzy set of formulas (the hypotheses). Approximate reasoning has generated a very interesting literature in recent years. However, in spite of several basic results, in our opinion, we are still far from a satisfactory setting of this very hard and mysterious subject. The aim of this book is to furnish some theoretical devices and to sketch a general framework for fuzzy logic. This is also in accordance with the non Fregean attitude of the book.

Author : Jun Yan,Michael Ryan,James Power
Publisher : Unknown
Page : 282 pages
File Size : 42,6 Mb
Release : 1994
Category : Computers
ISBN : UOM:39015033325120

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Using Fuzzy Logic by Jun Yan,Michael Ryan,James Power Pdf

A clear account of the principles of fuzzy logic-based design, from a computer/electronics engineering perspective. This pedagogical work incorporates current fuzzy logic techniques, emphasizing hardware/software design for fuzzy systems and fuzzy logic development tools.

Author : Guanrong Chen,Trung Tat Pham
Publisher : CRC Press
Page : 329 pages
File Size : 50,6 Mb
Release : 2000-11-27
Category : Mathematics
ISBN : 9781420039818

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems by Guanrong Chen,Trung Tat Pham Pdf

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