Fuzzy Logic In Chemistry
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Author | : Dennis H. Rouvray |
Publisher | : Academic Press |
Total Pages | : 387 |
Release | : 1997-04-18 |
Genre | : Science |
ISBN | : 008053225X |
Fuzzy Logic has gained increasing acceptance as a way to deal with complexity and uncertainty in many areas of science and engineering. This book is the first to address its practical applications to chemical systems. Ten distinguished authors discuss the role of fuzzy logic in the characterization of a variety of chemical concepts, including chirality, quantum systems, molecular engineering and design, and hierarchical classification methods. Fuzzy Logic in Chemistry will appeal to both students and professionals who are seeking to learn more about theory and applications in an area of growing importance to the physical sciences. - The first book on the applications of fuzzy logic in chemistry - Covers a topic relevant to many disciplines, including molecular design - Discusses applications of fuzzy logic to the physical sciences, a rapidly growing area - Features chapters from highly distinguished authors in the physical sciences
Author | : Radim Belohlavek |
Publisher | : Oxford University Press |
Total Pages | : 545 |
Release | : 2017-05-03 |
Genre | : Philosophy |
ISBN | : 0190200022 |
The term "fuzzy logic," as it is understood in this book, stands for all aspects of representing and manipulating knowledge based on the rejection of the most fundamental principle of classical logic---the principle of bivalence. According to this principle, each declarative sentence is required to be either true or false. In fuzzy logic, these classical truth values are not abandoned. However, additional, intermediate truth values between true and false are allowed, which are interpreted as degrees of truth. This opens a new way of thinking---thinking in terms of degrees rather than absolutes. For example, it leads to the definition of a new kind of sets, referred to as fuzzy sets, in which membership is a matter of degree. The book examines the genesis and development of fuzzy logic. It surveys the prehistory of fuzzy logic and inspects circumstances that eventually lead to the emergence of fuzzy logic. The book explores in detail the development of propositional, predicate, and other calculi that admit degrees of truth, which are known as fuzzy logic in the narrow sense. Fuzzy logic in the broad sense, whose primary aim is to utilize degrees of truth for emulating common-sense human reasoning in natural language, is scrutinized as well. The book also examines principles for developing mathematics based on fuzzy logic and provides overviews of areas in which this has been done most effectively. It also presents a detailed survey of established and prospective applications of fuzzy logic in various areas of human affairs, and provides an assessment of the significance of fuzzy logic as a new paradigm.
Author | : Markus C. Hemmer |
Publisher | : CRC Press |
Total Pages | : 418 |
Release | : 2007-12-13 |
Genre | : Computers |
ISBN | : 1420053248 |
Expert systems allow scientists to access, manage, and apply data and specialized knowledge from various disciplines to their own research. Expert Systems in Chemistry Research explains the general scientific basis and computational principles behind expert systems and demonstrates how they can improve the efficiency of scientific workflows
Author | : Dan E. Tamir |
Publisher | : Springer |
Total Pages | : 679 |
Release | : 2015-05-23 |
Genre | : Technology & Engineering |
ISBN | : 3319196839 |
This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.
Author | : Pier Luigi Gentili |
Publisher | : Frontiers Media SA |
Total Pages | : 102 |
Release | : 2023-11-27 |
Genre | : Science |
ISBN | : 2832539947 |
Although human intelligence is deeply investigated by neuroscientists, psychologists, philosophers, and AI researchers, we still lack of a widely accepted definition of what it is. If we exploit the emergence theory from Complexity Science to give a definition, we might state that human intelligence is the emergent property of the human nervous system. Such fascinating emergent property allows us to handle both accurate and vague information by computing with numbers and words. Moreover, it allows us to reason, speak and take rational decisions in an environment of uncertainty, partiality and relativity of truth, when the “Incompatibility Principle” holds: “As the complexity of a system increases, accuracy and significance become almost mutually exclusive characteristics of our statements”. Finally, our intelligence allows us recognizing quite easily variable patterns. Therefore, it is worthwhile investigating human intelligence and trying to mimic it by developing Artificial Intelligence. Nowadays, Artificial Intelligence is in vogue: it is applied in both basic and applied science. Traditionally, there are two strategies to develop Artificial Intelligence. A strategy consists in writing human-like intelligent software running in von Neumann computers or special-purpose hardware. The other strategy consists in neuromorphic engineering. Neuromorphic engineering implements surrogates of neurons through non-biological systems, either for neuro-prosthesis or to design brain-like computing machines. A third strategy is now blooming and it consists in using molecular, supramolecular, materials, and systems chemistry to mimic some basic functions of human intelligence such as Boolean, multi-valued logic gates, and Fuzzy logic. This third strategy is originating Chemical Artificial Intelligence (CAI). A relevant purpose of CAI is to design modules for Chemical Robots. A Chemical Robot is thought of as a molecular assembly that reacts autonomously to its environment by probing it with molecular sensors, making decisions by its intrinsic Artificial Neural Networks or logic gates, and performing actions upon its environment through molecular effectors. The intelligent activities of any Chemical Robot should be sustained energetically by a metabolic unit. Chemical Robots should be easily miniaturized and implanted in living beings to interplay with cells or organelles for biomedical applications. They should become auxiliary elements of the natural immune system.
Author | : Leslie Astudillo |
Publisher | : Springer Science & Business Media |
Total Pages | : 81 |
Release | : 2014-03-13 |
Genre | : Technology & Engineering |
ISBN | : 3319052454 |
In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions. This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.
Author | : Hugh M. Cartwright |
Publisher | : Royal Society of Chemistry |
Total Pages | : 564 |
Release | : 2020-07-15 |
Genre | : Science |
ISBN | : 1788017897 |
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
Author | : Kanchan Sarkar |
Publisher | : CRC Press |
Total Pages | : 439 |
Release | : 2017-11-06 |
Genre | : Mathematics |
ISBN | : 1351648934 |
This book can be regarded as 'Soft computing for physicists and chemists self-taught'. It prepares the readers with a solid background of soft computing and how to adapt soft computing techniques to problem solving in physical and chemical research. Soft computing methods have been little explored by researchers in physical and chemical sciences primarily because of the absence of books that bridge the gap between the traditional computing paradigm pursued by researchers in science and the new soft computing paradigm that has emerged in computer science. This book is the interface between these primary sources and researchers in physics and chemistry.
Author | : Professor Lakhmi C. Jain |
Publisher | : Physica |
Total Pages | : 343 |
Release | : 2013-11-11 |
Genre | : Computers |
ISBN | : 3790818682 |
Presented are innovative teaching and learning techniques for the teaching of knowledge-based paradigms. The main knowledge-based intelligent paradigms are expert systems, artificial neural networks, fuzzy systems and evolutionary computing. Expert systems are designed to mimic the performance of biological systems. Artificial neural networks can mimic the biological information processing mechanism in a very limited sense. Evolutionary computing algorithms are used for optimization applications, and fuzzy logic provides a basis for representing uncertain and imprecise knowledge.
Author | : |
Publisher | : ScholarlyEditions |
Total Pages | : 4748 |
Release | : 2012-01-09 |
Genre | : Technology & Engineering |
ISBN | : 146496355X |
Issues in Chemical Engineering and other Chemistry Specialties: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Chemical Engineering and other Chemistry Specialties. The editors have built Issues in Chemical Engineering and other Chemistry Specialties: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Chemical Engineering and other Chemistry Specialties in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Chemical Engineering and other Chemistry Specialties: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.