Fuzzy Technology

This book provides readers with a timely and comprehensive yet concise view on the field of fuzzy logic and its real-world applications. The chapters, written by authoritative scholars in the field, report on promising new models for data analysis, decision making, and systems modeling, with a special emphasis on their applications in management science. The book is a token of appreciation from the fuzzy research community to Professor Christer Carlsson for his long time research and organizational commitment, which have among other things resulted in the foundation and success of the Institute for Advanced Management Systems Research (IAMSR) at Åbo Akademi University, in Åbo (Turku), Finland. The book serves as timely guide for the fuzzy logic and operations research communities alike.

Fuzzy logic is `a recent revolutionary technology' which has brought together researchers from mathematics, engineering, computer science, cognitive and behavioral sciences, etc. The work in fuzzy technology at the Laboratory for International Fuzzy Engineering (LIFE) has been specifically applied to engineering problems. This book reflects the results of the work that has been undertaken at LIFE with chapters treating the following topical areas: Decision Support Systems, Intelligent Plant Operations Support, Fuzzy Modeling and Process Control, System Design, Image Understanding, Behavior Decisions for Mobile Robots, the Fuzzy Computer, and Fuzzy Neuro Systems. The book is a thorough analysis of research which has been implemented in the areas of fuzzy engineering technology. The analysis can be used to improve these specific applications or, perhaps more importantly, to investigate more sophisticated fuzzy control applications.

The 1980s saw a whole wave of practical applications of fuzzy theory, mainly in the field of process control, with Japan as pioneer. In the '90s there has been a flood of applications to household electrical appliances, and“fuzzy” has become a high-tech buzz-word in Japan. Since then many countries have followed suit and developed their own fuzzy applications. This book reviews the burgeoning industrial applications of fuzzy theory. The contributors are mostly industrial engineers or research experts in the field. The areas covered include automobiles, home appliances, voice recognition, medical techniques, fuzzy design, process control, space operations and mobile autonomous robots. Very recently the development of fuzzy theory has become intertwined with fields such as neural networks and chaos. This volume also summarizes such trends in an industrial context. The book will be of use to senior undergraduates or graduate students, industrial research scientists, and anyone interested in the wide-ranging applicational aspects of fuzzy theory today. Contents:Industrial Fuzzy Control Review: A Perspective from Feedback and Manufacturing (S Isaka & V K Chu)Fuzzy Logic Control in Finnish Industry (H N Koivo)Recursive Fuzzy Reasoning and Its Application to an Auto-Tuning Controller (K Nomoto)A Practical Application of Fuzzy Theory to an Auto-Regulation System for Extra-Corporeal Circulation (ECC) (T Tobi)Automatic Crane Operation Using Fuzzy Cooperative Control Method (O Itoh, H Migita, J Itoh & Y Irie)Integration of Knowledge-Based Configuration with Fuzzy Logic and Optimization (A Günter, M Kopisch & H-J Sebastian)Fuzzy Applications for Automobiles (H Takahashi)Voice Recognition Using Fuzzy Pattern Matching and Its Applications (J-I Fujimoto)Intelligent Home Appliances Using Fuzzy Technology (N Wakami, H Nomura & S Araki)Fusion Technology of Fuzzy and Chaos Theory, and Its Applications (R Katayama)Fusion of Chaos and Fuzzy Logic, and Its Applications: Short-Term Prediction on Chaotic Time Series (T Iokibe, S Murata & M Koyama)Applications of Fuzzy Logic and Neural Networks in Space Operations (Y Jani, R N Lea & R H Brown)Reactive Fuzzy Control of Autonomous Robots (E H Ruspini) Readership: Senior undergraduates, graduate students and practising engineers with interests in the applicational aspects of fuzzy theory. keywords:Computational Intelligence;Control;Expert system;Fuzzy;Image Processing;Industrial Application;Neuro;Robotics;Sensor;Soft Computing

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.

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.

“Artfully explains why it is time for us to get over the false division between the human and the technical.”—Tim Brown, CEO of IDEO and author of Change by Design Scott Hartley first heard the terms fuzzy and techie while studying political science at Stanford University. If you majored in humanities or social sciences, you were a fuzzy. If you majored in computer or hard sciences, you were a techie. While Silicon Valley is generally considered a techie stronghold, the founders of companies like Airbnb, Pinterest, Slack, LinkedIn, PayPal, Stitch Fix, Reddit, and others are all fuzzies—in other words, people with backgrounds in the liberal arts. In this brilliantly counterintuitive book, Hartley shatters assumptions about business and education today: learning to code is not enough. The soft skills—curiosity, communication, and collaboration, along with an understanding of psychology and society’s gravest problems—are central to why technology has value. Fuzzies are the instrumental stewards of robots, artificial intelligence, and machine learning. They offer a human touch that is of equal—if not greater—importance in our technology-led world than what most techies can provide. For anyone doubting whether a well-rounded liberal arts education is practical in today’s world, Hartley’s work will come as an inspiring revelation. Finalist for the 2016 Financial Times/McKinsey Bracken Bower Prize and A Financial Times Business Book of the Month

Extensive coverage of both the theory and application of fuzzy logic design.

This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.