Applications Of Fuzzy Set Theory In Human Factors

The objectives of Human Reliability are to build reliability into the job, into the machine, and into the environment, and to let man perform naturally. In this book the author shows how these objectives can be achieved by concentrating on human reliability issues during the design stage. This is done by illustrating the relationships between various design features and some aspect of human performance, e.g. human errors.The book is designed as a practical guide to the daily performance of tasks in Human Reliability as well as a general reference and tutorial introduction to the field. It is therefore both practical and theoretical: the first four chapters focus on principles and ramifications relevant to human error prevention; the latter four are primarily concerned with human reliability analysis and prediction methodology. Throughout the book there are extensive references, numerous ready-to-use recommendations, formulas and mathematical models, and computer programs for human reliability work for analyzing, predicting and preventing human errors in a variety of situations. Though some of the material requires undergraduate training in engineering, the more difficult mathematical expositions can be omitted without loss of continuity, but are available for the reader who needs a more complete understanding of the relevant theory.

The objectives of Human Reliability are to build reliability into the job, into the machine, and into the environment, and to let man perform naturally. In this book the author shows how these objectives can be achieved by concentrating on human reliability issues during the design stage. This is done by illustrating the relationships between various design features and some aspect of human performance, e.g. human errors.

The development of the theory of fuzzy sets was motivated largely by the need for a computational framework for dealing with systems in which human judgement, behavior and emotions play a dominant role. Although there are very few papers on fuzzy sets in the literature of psychology and cognitive science, the theory of fuzzy sets provides a much better model for human cognition than traditional approaches. By focusing on the application of fuzzy sets in human factors, this book provides a valuable, authoritative overview of what the theory is about and how it can be applied. An impressive feature is the broad spectrum of applications, ranging from the use of fuzzy methods in the ergonomic diagnostics of industrial production systems to approximate reasoning in risk analysis and the modeling of human-computer interactions in information retrieval tasks. Equally impressive is the very wide variety of disciplines and countries represented by the contributors.

The development of the theory of fuzzy sets was motivated largely by the need for a computational framework for dealing with systems in which human judgement, behavior and emotions play a dominant role. Although there are very few papers on fuzzy sets in the literature of psychology and cognitive science, the theory of fuzzy sets provides a much better model for human cognition than traditional approaches.

The first encyclopedia in the field, the International Encyclopedia of Ergonomics and Human Factors provides a comprehensive and authoritative compendium of current knowledge on ergonomics and human factors. It gives specific information on concepts and tools unique to ergonomics. About 500 entries, published in three volumes and on CD-ROM, are pre

Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains relevant problems, as well as provides solutions to these problems. After an introduction, the book progresses from one topic to another - with a linear development from fundamentals to applications.

The previous edition of the International Encyclopedia of Ergonomics and Human Factors made history as the first unified source of reliable information drawn from many realms of science and technology and created specifically with ergonomics professionals in mind. It was also a winner of the Best Reference Award 2002 from the Engineering Libraries Division, American Society of Engineering Education, USA, and the Outstanding Academic Title 2002 from Choice Magazine. Not content to rest on his laurels, human factors and ergonomics expert Professor Waldemar Karwowski has overhauled his standard-setting resource, incorporating coverage of tried and true methods, fundamental principles, and major paradigm shifts in philosophy, thought, and design. Demonstrating the truly interdisciplinary nature of this field, these changes make the second edition even more comprehensive, more informative, more, in a word, encyclopedic. Keeping the format popularized by the first edition, the new edition has been completely revised and updated. Divided into 13 sections and organized alphabetically within each section, the entries provide a clear and simple outline of the topics as well as precise and practical information. The book reviews applications, tools, and innovative concepts related to ergonomic research. Technical terms are defined (where possible) within entries as well as in a glossary. Students and professionals will find this format invaluable, whether they have ergonomics, engineering, computing, or psychology backgrounds. Experts and researchers will also find it an excellent source of information on areas beyond the range of their direct interests.

Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully. Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.